NIH-funded Postdoctoral Position at the Italian Institute of Technology
I am seeking to hire one or more postdoctoral scientists to research with me and my Neural Computation laboratory at the Istituto Italiano di Tecnologia.
The project, funded by a Brain Initiative multi-PI RO1 Grant from the National Institute of Health, will be performed in collaboration with my experimental collaborators Christopher Harvey (Harvard Medical School) and Wei-Chung Lee (Children’s Hospital). The proposed computational research will use data-driven models of recurrent neural networks and information-theoretic methods to analyze functional activity of hundreds of neurons recorded during cognitive tasks, together with anatomical electron-microscopy data collected from the same subjects and brain regions. The aim of the project is to establish novel and firm relationships between the anatomical structure of a cortical microcircuit and its neural population coding function.
The laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, well-funded and ambitious research environment with extensive international collaborations and ample opportunities for advanced training and personal scientific growth.
We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists.
The successful candidate will have the opportunity to conduct research at either the IIT in Italy, or at the IIT outstation at Harvard Medical School, in Boston, depending on the nature of the agreed research and on personal preferences.
For representative recent publications from the PI, see:
Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96.
Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507
Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839
Further information about my research can be found at my IIT and Google Scholar web pages:
https://www.iit.it/people/stefano-panzeri
https://scholar.google.it/citations?user=C-HCQ9cAAAAJ&hl=en
Applications (full CV, statement of research interest and name and contact of 2 referees) should be sent by e-mail to stefano.panzeri@iit.it, quoting “Postdoctoral position in Computational Neuroscience” in the subject line. The deadline for applications is January 31th, 2019. Applications will be examined until the position is filled. Interested applicants are advised to contact me by email informally as soon as possible to discuss about the science and the position informally.
✔️ @ApplyTime
I am seeking to hire one or more postdoctoral scientists to research with me and my Neural Computation laboratory at the Istituto Italiano di Tecnologia.
The project, funded by a Brain Initiative multi-PI RO1 Grant from the National Institute of Health, will be performed in collaboration with my experimental collaborators Christopher Harvey (Harvard Medical School) and Wei-Chung Lee (Children’s Hospital). The proposed computational research will use data-driven models of recurrent neural networks and information-theoretic methods to analyze functional activity of hundreds of neurons recorded during cognitive tasks, together with anatomical electron-microscopy data collected from the same subjects and brain regions. The aim of the project is to establish novel and firm relationships between the anatomical structure of a cortical microcircuit and its neural population coding function.
The laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, well-funded and ambitious research environment with extensive international collaborations and ample opportunities for advanced training and personal scientific growth.
We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists.
The successful candidate will have the opportunity to conduct research at either the IIT in Italy, or at the IIT outstation at Harvard Medical School, in Boston, depending on the nature of the agreed research and on personal preferences.
For representative recent publications from the PI, see:
Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96.
Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507
Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839
Further information about my research can be found at my IIT and Google Scholar web pages:
https://www.iit.it/people/stefano-panzeri
https://scholar.google.it/citations?user=C-HCQ9cAAAAJ&hl=en
Applications (full CV, statement of research interest and name and contact of 2 referees) should be sent by e-mail to stefano.panzeri@iit.it, quoting “Postdoctoral position in Computational Neuroscience” in the subject line. The deadline for applications is January 31th, 2019. Applications will be examined until the position is filled. Interested applicants are advised to contact me by email informally as soon as possible to discuss about the science and the position informally.
✔️ @ApplyTime
ML and Data Science Postdoc Opportunity at Northwestern University Feinberg School of Medicine
We are recruiting a postdoctoral fellow in the Division of Health and Biomedical Informatics at Northwestern University’s Feinberg School of Medicine. The postdoctoral fellow is expected to conduct research under guidance from Dr. Yuan Luo, Assistant Professor in Departments of Preventive Medicine, IEMS and EECS (by courtesy). Our group website: https://labs.feinberg.northwestern.edu/lyg/. The fellow will also have the opportunities to work closely with top-notch clinicians from Northwestern Memorial Hospital, and strong supporting staff from Northwestern Medicine Enterprise Data Warehouse Team.
The successful candidate will have PhD in EECS, Biomedical Informatics, IEMS, Physics or related fields with solid programming skills. Experiences in some of the following areas are desirable: Machine Learning (ML) and/or Natural Language Processing (NLP) and/or time series analysis and/or -omic analysis. The candidate should demonstrate good communication skills and ability to work in a collaborative environment, to coordinate and supervise part of the research project.
We offer a competitive salary and an initial appointment of 12 months, starting 2019. Extension of the postdoctoral position for up to 3 years is possible. Northwestern University is an exceptional research institution that has a world-class medical school and is an emerging hub in biomedical informatics; our department is located in downtown Chicago, one of the most vibrant cities in the US. Be part of a prestigious institution that offers great benefits, and enjoy our lakefront working environment.
Please send your application to Yuan Luo <yuan.luo@northwestern.edu>, which should include:
- Curriculum vitae
- List of publications (attach a copy of one of your strongest papers)
- Contact details for 2 to 3 references
Northwestern University is an Equal Opportunity/Affirmative Action Employer.
✔️ @ApplyTime
We are recruiting a postdoctoral fellow in the Division of Health and Biomedical Informatics at Northwestern University’s Feinberg School of Medicine. The postdoctoral fellow is expected to conduct research under guidance from Dr. Yuan Luo, Assistant Professor in Departments of Preventive Medicine, IEMS and EECS (by courtesy). Our group website: https://labs.feinberg.northwestern.edu/lyg/. The fellow will also have the opportunities to work closely with top-notch clinicians from Northwestern Memorial Hospital, and strong supporting staff from Northwestern Medicine Enterprise Data Warehouse Team.
The successful candidate will have PhD in EECS, Biomedical Informatics, IEMS, Physics or related fields with solid programming skills. Experiences in some of the following areas are desirable: Machine Learning (ML) and/or Natural Language Processing (NLP) and/or time series analysis and/or -omic analysis. The candidate should demonstrate good communication skills and ability to work in a collaborative environment, to coordinate and supervise part of the research project.
We offer a competitive salary and an initial appointment of 12 months, starting 2019. Extension of the postdoctoral position for up to 3 years is possible. Northwestern University is an exceptional research institution that has a world-class medical school and is an emerging hub in biomedical informatics; our department is located in downtown Chicago, one of the most vibrant cities in the US. Be part of a prestigious institution that offers great benefits, and enjoy our lakefront working environment.
Please send your application to Yuan Luo <yuan.luo@northwestern.edu>, which should include:
- Curriculum vitae
- List of publications (attach a copy of one of your strongest papers)
- Contact details for 2 to 3 references
Northwestern University is an Equal Opportunity/Affirmative Action Employer.
✔️ @ApplyTime
Funded Masters / PhD Positions at Purdue University
I am an Assistant Professor at Purdue University.
I am seeking Masters / PhD students (funding available) who are broadly interested in one or more of the following: games, human-computer interaction, and education. Purdue University has several scholarships available as well.
Please contact me at kaod@purdue.edu if you are interested in applying.
✔️ @ApplyTime
I am an Assistant Professor at Purdue University.
I am seeking Masters / PhD students (funding available) who are broadly interested in one or more of the following: games, human-computer interaction, and education. Purdue University has several scholarships available as well.
Please contact me at kaod@purdue.edu if you are interested in applying.
✔️ @ApplyTime
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#OpenPosition #ApplyTime
📣 دعوت به همکاری:
#اپلایتایم به منظور گسترش فعالیتها و متنوع کردن تیم کاری، از علاقهمندان به انجام امور اپلای دعوت به همکاری مینماید.
🔵 دربارهی ما:
اپلایتایم تیمی متشکل از دانشجویان و دانشآموختگان ایرانیست که در حال حاضر در خارج از ایران در حال تحصیل و یا زندگی هستند. در طول بیش از دو سال فعالیت خود تلاش کردیم که فرهنگ آکادمیک تیم خود را حفظ کرده و بدور از فضای تبلیغاتی پر سر و صدای موجود در شبکههای اجتماعی، در انجام امور اپلای به دانشجویان ایرانی کمک کنیم. در نظر داریم که در ادامهی این مسیر، فعالیتهای خود را گسترش داده و به صورت فراگیرتری به دانشجویان در فرآیند اپلای یاری رسانیم.
همانطور که همواره به آن تاکید کردهایم، اپلایتایم هیچ دانشجویی را جهت ادامهی تحصیل در دانشگاههای خارجی نه تشویق نموده و نه برحذر میدارد. بلکه رسالت خود را آشنا سازی علاقهمندان با مزیتها و معایب ادامهی تحصیل در خارج از کشور برشمرده، و در نهایت تنها کسانی را که تصمیمشان برای ادامهی تحصیل در خارج از کشور قطعی میباشد، کمک نموده تا این مسیر را بهینهتر طی کنند.
🔴 آنچه که در این موقعیت کاری تجربه خواهید کرد:
• همکاری با تیمی از دانشجویان و دانشآموختگان ایرانی خارج از کشور
• انجام امور به صورت از راه دور
• آشنایی بیشتر با مسیر اپلای، دانشگاهها و کشورهای خارجی
• ساعت کاری کاملا منعطف
⚪️ آنچه که از شما انتظار داریم:
• دانشجو یا دانشآموختهای ساکن در ایران یا خارج از ایران
• آشنایی نسبی با امور اپلای
• زبان انگلیسی نسبتا مناسب (ریدینگ و رایتینگ)
• مسئولیتپذیر، متعهد، خلاق و وقتشناس
🗓 مهلت درخواست: تا زمانی که موقعیتها کاملا پر نشدهاند این فراخوان باز میباشد.
📧 نحوهی درخواست:
به منظور اپلای رزومهی "یک صفحهای" خود را به جیمیل #اپلایتایم به آدرس زیر و سابجکت تعریف شده ارسال نمایید:
Email: applytime.ir@gmail.com
Subject: at2019
📄 لطفا در متن ایمیل خود، چند خط در مورد آشناییتان با مسیر اپلای توضیح دهید.
✔️ @ApplyTime
📣 دعوت به همکاری:
#اپلایتایم به منظور گسترش فعالیتها و متنوع کردن تیم کاری، از علاقهمندان به انجام امور اپلای دعوت به همکاری مینماید.
🔵 دربارهی ما:
اپلایتایم تیمی متشکل از دانشجویان و دانشآموختگان ایرانیست که در حال حاضر در خارج از ایران در حال تحصیل و یا زندگی هستند. در طول بیش از دو سال فعالیت خود تلاش کردیم که فرهنگ آکادمیک تیم خود را حفظ کرده و بدور از فضای تبلیغاتی پر سر و صدای موجود در شبکههای اجتماعی، در انجام امور اپلای به دانشجویان ایرانی کمک کنیم. در نظر داریم که در ادامهی این مسیر، فعالیتهای خود را گسترش داده و به صورت فراگیرتری به دانشجویان در فرآیند اپلای یاری رسانیم.
همانطور که همواره به آن تاکید کردهایم، اپلایتایم هیچ دانشجویی را جهت ادامهی تحصیل در دانشگاههای خارجی نه تشویق نموده و نه برحذر میدارد. بلکه رسالت خود را آشنا سازی علاقهمندان با مزیتها و معایب ادامهی تحصیل در خارج از کشور برشمرده، و در نهایت تنها کسانی را که تصمیمشان برای ادامهی تحصیل در خارج از کشور قطعی میباشد، کمک نموده تا این مسیر را بهینهتر طی کنند.
🔴 آنچه که در این موقعیت کاری تجربه خواهید کرد:
• همکاری با تیمی از دانشجویان و دانشآموختگان ایرانی خارج از کشور
• انجام امور به صورت از راه دور
• آشنایی بیشتر با مسیر اپلای، دانشگاهها و کشورهای خارجی
• ساعت کاری کاملا منعطف
⚪️ آنچه که از شما انتظار داریم:
• دانشجو یا دانشآموختهای ساکن در ایران یا خارج از ایران
• آشنایی نسبی با امور اپلای
• زبان انگلیسی نسبتا مناسب (ریدینگ و رایتینگ)
• مسئولیتپذیر، متعهد، خلاق و وقتشناس
🗓 مهلت درخواست: تا زمانی که موقعیتها کاملا پر نشدهاند این فراخوان باز میباشد.
📧 نحوهی درخواست:
به منظور اپلای رزومهی "یک صفحهای" خود را به جیمیل #اپلایتایم به آدرس زیر و سابجکت تعریف شده ارسال نمایید:
Email: applytime.ir@gmail.com
Subject: at2019
📄 لطفا در متن ایمیل خود، چند خط در مورد آشناییتان با مسیر اپلای توضیح دهید.
✔️ @ApplyTime
@ApplyTime.pdf
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PhD position, Development and application of new machine learning models for the quantitative prediction of biomolecular interactions.
Predictions will be validated and assessed using experimental data
✔️ @ApplyTime
Predictions will be validated and assessed using experimental data
✔️ @ApplyTime
Research Fellow
The ANU College of Engineering and Computer Science (CECS) is dedicated to contributing to The Australian National University’s reputation for excellence in research and research-led education, bringing together expertise across a range of areas to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. Our academics and students are engaged in ground-breaking, cutting-edge research, in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence.
The Solar Thermal Group (STG), part of the Research School of Engineering, has a 40 year history of experimentally-driven work in the field of solar thermal energy, with around 30 research staff and students. The group maintains the 500 m2 Big Dish as a full-scale experimental CSP facility, and has recently commissioned a new solar thermochemistry laboratory including a 45 kWe high-flux solar simulator. STG conducts research and education in the broad area of solar thermal energy conversion and related basic and applied disciplines. The main applied research themes are concentrating solar technologies for power generation and production of fuels and commodity materials, solar heating and cooling, and system integration. The basic research spans across optics, photonics, radiative transfer, thermal sciences, chemistry, and materials
More Info
✔️ @ApplyTime
The ANU College of Engineering and Computer Science (CECS) is dedicated to contributing to The Australian National University’s reputation for excellence in research and research-led education, bringing together expertise across a range of areas to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. Our academics and students are engaged in ground-breaking, cutting-edge research, in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence.
The Solar Thermal Group (STG), part of the Research School of Engineering, has a 40 year history of experimentally-driven work in the field of solar thermal energy, with around 30 research staff and students. The group maintains the 500 m2 Big Dish as a full-scale experimental CSP facility, and has recently commissioned a new solar thermochemistry laboratory including a 45 kWe high-flux solar simulator. STG conducts research and education in the broad area of solar thermal energy conversion and related basic and applied disciplines. The main applied research themes are concentrating solar technologies for power generation and production of fuels and commodity materials, solar heating and cooling, and system integration. The basic research spans across optics, photonics, radiative transfer, thermal sciences, chemistry, and materials
More Info
✔️ @ApplyTime
jobs.anu.edu.au
Home - Jobs - ANU
Research Position in Chemical and Biomedical Engineering
Applicants are invited to apply for a postdoctoral fellowship position in biophysics at Nanyang Technological University. There is no application deadline for this position.
We are looking for a research fellow in super-resolution imaging, total internal reflectance fluorescence imaging and biophysical studies. The successful candidates will play a leading role in synthesis, spectroscopic characterization, and the interactions of photo-active nanomaterials with controlled optical properties. Postdoctoral candidates should have extensive experience and deep understanding on the microscopic imaging of optically active nanostructures and imaging analysis. Please send your CV, list of publications, statement of research interests and names of three references at your earliest convenience to Assoc Prof Duan Hongwei at hduan@ntu.edu.sg. 1 vacancy available. Only shortlisted candidates will be notified. Closing date: The position will be open until filled
✔️ @ApplyTime
Applicants are invited to apply for a postdoctoral fellowship position in biophysics at Nanyang Technological University. There is no application deadline for this position.
We are looking for a research fellow in super-resolution imaging, total internal reflectance fluorescence imaging and biophysical studies. The successful candidates will play a leading role in synthesis, spectroscopic characterization, and the interactions of photo-active nanomaterials with controlled optical properties. Postdoctoral candidates should have extensive experience and deep understanding on the microscopic imaging of optically active nanostructures and imaging analysis. Please send your CV, list of publications, statement of research interests and names of three references at your earliest convenience to Assoc Prof Duan Hongwei at hduan@ntu.edu.sg. 1 vacancy available. Only shortlisted candidates will be notified. Closing date: The position will be open until filled
✔️ @ApplyTime
Research Position in Electrical Engineering at Nanyang Technological University
The Rapid-Rich Object SEarch (ROSE) Lab is a joint research initiative between the Nanyang Technological University (NTU) and Peking University (PKU). It aims to create a platform for fast mobile searches on object databases. The three key thrusts of the ROSE Lab are: (i) large-scale object database collection and analytics, (ii) scalable mobile object search with contextual mobility, and (iii) media cloud platform. Resources at the ROSE Lab consist of NTU & PKU Faculty, Researchers, PhD Students, and Visiting Scholars & Students from other institutions from around the world.
(i)Research into Computer Vision and Machine Learning
(ii)Perfrom research work in large-scale visual object/image/video search, retrieval, detection and classification
(iii)Assist in drafting of proposals for research grants in the above areas.
The successful applicant will typically be on a 1 year contract basis, with the option to renew based on the candidate's performance.
Learn more about ROSE Lab at http://rose.ntu.edu.sg/
Interested applicants please indicate the “Job Bank ID JOB-2018-0182647” in your subject heading, attach your full CV, with the names and contacts (including email addresses) of 3 character referees, and all relevant academic certificates to WangQ@ntu.edu.sg
✔️ @ApplyTime
The Rapid-Rich Object SEarch (ROSE) Lab is a joint research initiative between the Nanyang Technological University (NTU) and Peking University (PKU). It aims to create a platform for fast mobile searches on object databases. The three key thrusts of the ROSE Lab are: (i) large-scale object database collection and analytics, (ii) scalable mobile object search with contextual mobility, and (iii) media cloud platform. Resources at the ROSE Lab consist of NTU & PKU Faculty, Researchers, PhD Students, and Visiting Scholars & Students from other institutions from around the world.
(i)Research into Computer Vision and Machine Learning
(ii)Perfrom research work in large-scale visual object/image/video search, retrieval, detection and classification
(iii)Assist in drafting of proposals for research grants in the above areas.
The successful applicant will typically be on a 1 year contract basis, with the option to renew based on the candidate's performance.
Learn more about ROSE Lab at http://rose.ntu.edu.sg/
Interested applicants please indicate the “Job Bank ID JOB-2018-0182647” in your subject heading, attach your full CV, with the names and contacts (including email addresses) of 3 character referees, and all relevant academic certificates to WangQ@ntu.edu.sg
✔️ @ApplyTime
Apply Time Positions pinned «Research Position in Electrical Engineering at Nanyang Technological University The Rapid-Rich Object SEarch (ROSE) Lab is a joint research initiative between the Nanyang Technological University (NTU) and Peking University (PKU). It aims to create a platform…»
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📣 دعوت به همکاری:
#اپلایتایم به منظور گسترش فعالیتها و متنوع کردن تیم کاری، از علاقهمندان به انجام امور اپلای دعوت به همکاری مینماید.
🔵 دربارهی ما:
اپلایتایم تیمی متشکل از دانشجویان و دانشآموختگان ایرانیست که در حال حاضر در خارج از ایران در حال تحصیل و یا زندگی هستند. در طول بیش از دو سال فعالیت خود تلاش کردیم که فرهنگ آکادمیک تیم خود را حفظ کرده و بدور از فضای تبلیغاتی پر سر و صدای موجود در شبکههای اجتماعی، در انجام امور اپلای به دانشجویان ایرانی کمک کنیم. در نظر داریم که در ادامهی این مسیر، فعالیتهای خود را گسترش داده و به صورت فراگیرتری به دانشجویان در فرآیند اپلای یاری رسانیم.
همانطور که همواره به آن تاکید کردهایم، اپلایتایم هیچ دانشجویی را جهت ادامهی تحصیل در دانشگاههای خارجی نه تشویق نموده و نه برحذر میدارد. بلکه رسالت خود را آشنا سازی علاقهمندان با مزیتها و معایب ادامهی تحصیل در خارج از کشور برشمرده، و در نهایت تنها کسانی را که تصمیمشان برای ادامهی تحصیل در خارج از کشور قطعی میباشد، کمک نموده تا این مسیر را بهینهتر طی کنند.
🔴 آنچه که در این موقعیت کاری تجربه خواهید کرد:
• همکاری با تیمی از دانشجویان و دانشآموختگان ایرانی خارج از کشور
• انجام امور به صورت از راه دور
• آشنایی بیشتر با مسیر اپلای، دانشگاهها و کشورهای خارجی
• ساعت کاری کاملا منعطف
⚪️ آنچه که از شما انتظار داریم:
• دانشجو یا دانشآموختهای ساکن در ایران یا خارج از ایران
• آشنایی نسبی با امور اپلای
• زبان انگلیسی نسبتا مناسب (ریدینگ و رایتینگ)
• مسئولیتپذیر، متعهد، خلاق و وقتشناس
🗓 مهلت درخواست: تا زمانی که موقعیتها کاملا پر نشدهاند این فراخوان باز میباشد.
📧 نحوهی درخواست:
به منظور اپلای رزومهی "یک صفحهای" خود را به جیمیل #اپلایتایم به آدرس زیر و سابجکت تعریف شده ارسال نمایید:
Email: applytime.ir@gmail.com
Subject: at2019
📄 لطفا در متن ایمیل خود، چند خط در مورد آشناییتان با مسیر اپلای توضیح دهید.
✔️ @ApplyTime
📣 دعوت به همکاری:
#اپلایتایم به منظور گسترش فعالیتها و متنوع کردن تیم کاری، از علاقهمندان به انجام امور اپلای دعوت به همکاری مینماید.
🔵 دربارهی ما:
اپلایتایم تیمی متشکل از دانشجویان و دانشآموختگان ایرانیست که در حال حاضر در خارج از ایران در حال تحصیل و یا زندگی هستند. در طول بیش از دو سال فعالیت خود تلاش کردیم که فرهنگ آکادمیک تیم خود را حفظ کرده و بدور از فضای تبلیغاتی پر سر و صدای موجود در شبکههای اجتماعی، در انجام امور اپلای به دانشجویان ایرانی کمک کنیم. در نظر داریم که در ادامهی این مسیر، فعالیتهای خود را گسترش داده و به صورت فراگیرتری به دانشجویان در فرآیند اپلای یاری رسانیم.
همانطور که همواره به آن تاکید کردهایم، اپلایتایم هیچ دانشجویی را جهت ادامهی تحصیل در دانشگاههای خارجی نه تشویق نموده و نه برحذر میدارد. بلکه رسالت خود را آشنا سازی علاقهمندان با مزیتها و معایب ادامهی تحصیل در خارج از کشور برشمرده، و در نهایت تنها کسانی را که تصمیمشان برای ادامهی تحصیل در خارج از کشور قطعی میباشد، کمک نموده تا این مسیر را بهینهتر طی کنند.
🔴 آنچه که در این موقعیت کاری تجربه خواهید کرد:
• همکاری با تیمی از دانشجویان و دانشآموختگان ایرانی خارج از کشور
• انجام امور به صورت از راه دور
• آشنایی بیشتر با مسیر اپلای، دانشگاهها و کشورهای خارجی
• ساعت کاری کاملا منعطف
⚪️ آنچه که از شما انتظار داریم:
• دانشجو یا دانشآموختهای ساکن در ایران یا خارج از ایران
• آشنایی نسبی با امور اپلای
• زبان انگلیسی نسبتا مناسب (ریدینگ و رایتینگ)
• مسئولیتپذیر، متعهد، خلاق و وقتشناس
🗓 مهلت درخواست: تا زمانی که موقعیتها کاملا پر نشدهاند این فراخوان باز میباشد.
📧 نحوهی درخواست:
به منظور اپلای رزومهی "یک صفحهای" خود را به جیمیل #اپلایتایم به آدرس زیر و سابجکت تعریف شده ارسال نمایید:
Email: applytime.ir@gmail.com
Subject: at2019
📄 لطفا در متن ایمیل خود، چند خط در مورد آشناییتان با مسیر اپلای توضیح دهید.
✔️ @ApplyTime
Forwarded from Apply Time
✅ #كارشناسى_ارشد دانشگاه پلی تکنیک تورین، #ایتالیا
👈 زبان تحصيل: انگليسى (دریافت پذیرش با ارائه مدرک زبان IELTS 5.0 or higher) (ارائه مدرک زبان در زمان اپلای الزامی است) (اپلیکیشن فی زمان اپلای : 20 یورو)
💶 شهريه سالانه: 200 یورو (در صورت دریافت بورسیه استانی)
💰 بورسیه: با امکان دریافت بورسیهی تحصیلی به میزان ۵۰۰۰ یورو سالانه
📰 مدرک زبان مورد نياز جهت اخذ ویزا: 78 تافل یا 6 آیلتس
🎓 رشتهها:
ARCHITECTURE CONSTRUCTION CITY
ARCHITECTURE FOR THE SUSTAINABILITY DESIGN
TERRITORIAL, URBAN, ENVIRONMENTAL AND LANDSCAPE PLANNING
AUTOMOTIVE ENGINEERING
CIVIL ENGINEERING
COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING
COMPUTER ENGINEERING
ENGINEERING AND MANAGEMENT
ICT FOR SMART SOCIETIES
MECHANICAL ENGINEERING
MECHATRONIC ENGINEERING
NANOTECHNOLOGIES FOR ICTs
PETROLEUM AND MINING ENGINEERING
PHYSICS OF COMPLEX SYSTEMS
👈 شروع تحصيل: اکتبر 2019
👌 ددلاین :
From MARCH 4th, 2019 to APRIL 16th, 2019
at 2 p.m. Italy Time
📨 براى اطلاعات بيشتر و آگاهی از مدارک مورد نياز با ما در تماس باشید:
Italy Admin: @ApplyTime_Italy
✔️ @ApplyTime
👈 زبان تحصيل: انگليسى (دریافت پذیرش با ارائه مدرک زبان IELTS 5.0 or higher) (ارائه مدرک زبان در زمان اپلای الزامی است) (اپلیکیشن فی زمان اپلای : 20 یورو)
💶 شهريه سالانه: 200 یورو (در صورت دریافت بورسیه استانی)
💰 بورسیه: با امکان دریافت بورسیهی تحصیلی به میزان ۵۰۰۰ یورو سالانه
📰 مدرک زبان مورد نياز جهت اخذ ویزا: 78 تافل یا 6 آیلتس
🎓 رشتهها:
ARCHITECTURE CONSTRUCTION CITY
ARCHITECTURE FOR THE SUSTAINABILITY DESIGN
TERRITORIAL, URBAN, ENVIRONMENTAL AND LANDSCAPE PLANNING
AUTOMOTIVE ENGINEERING
CIVIL ENGINEERING
COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING
COMPUTER ENGINEERING
ENGINEERING AND MANAGEMENT
ICT FOR SMART SOCIETIES
MECHANICAL ENGINEERING
MECHATRONIC ENGINEERING
NANOTECHNOLOGIES FOR ICTs
PETROLEUM AND MINING ENGINEERING
PHYSICS OF COMPLEX SYSTEMS
👈 شروع تحصيل: اکتبر 2019
👌 ددلاین :
From MARCH 4th, 2019 to APRIL 16th, 2019
at 2 p.m. Italy Time
📨 براى اطلاعات بيشتر و آگاهی از مدارک مورد نياز با ما در تماس باشید:
Italy Admin: @ApplyTime_Italy
✔️ @ApplyTime
Forwarded from Apply Time
✅ #كارشناسى_ارشد دانشگاه پلی تکنیک میلان، #ایتالیا
👈 زبان تحصيل: انگليسى (ارائه مدرک زبان IELTS 6.0 or higher) (ارائه مدرک زبان در زمان اپلای الزامی نیست) (یکی از پروسه های اپلای دانشگاه پلی تکنیک میلان، ارسال یک نسخه کپی از مدارک با پلمپ دارلترجمه برای دانشگاه می باشد)
💶 شهريه سالانه: 200 یورو (در صورت دریافت بورسیه استانی)
💰 بورسیه: با امکان دریافت بورسیهی تحصیلی به میزان ۵۰۰۰ یورو سالانه
📰 مدرک زبان مورد نياز جهت اخذ ویزا: 78 تافل یا 6 آیلتس
🎓 رشتهها:
Aeronautical Engineering (Milano Bovisa)EN
Architectural Design and History (Mantova) EN
Automation and Control Engineering (Milano Leonardo)EN
Building and Architectural Engineering (Lecco, Milano Leonardo)EN
Chemical Engineering (Milano Leonardo)EN
Civil Engineering for Risk Mitigation (Lecco)EN
Computer Science and Engineering (Milano Leonardo)EN
Computer Science and Engineering (Como)EN
Design & Engineering (Milano Bovisa)EN
Design for the Fashion System (Milano Bovisa)EN
Digital and Interaction Design (Milano Bovisa)EN
Electronics Engineering (Milano Leonardo)EN
Engineering Physics (Milano Leonardo)EN
Geoinformatics Engineering (Milano Leonardo)EN
Landscape Architecture. Land Landscape Heritage (Milano Leonardo)EN
Management Engineering (Milano Bovisa)EN
Management of Built Environment (Milano Leonardo)EN
Materials Engineering and Nanotechnology (Milano Leonardo)EN
Mathematical Engineering (Milano Leonardo)EN
Mechanical Engineering (Milano Bovisa, Piacenza)EN
Mechanical Engineering (Lecco)EN
Music and Acoustic Engineering (Cremona, Milano Leonardo)EN
Nuclear Engineering (Milano Bovisa)EN
Product Service System Design (Milano Bovisa)EN
Space Engineering (Milano Bovisa)EN
Sustainable Architecture and Landscape Design (Piacenza)EN
Telecommunication Engineering (Milano Leonardo)EN
Urban Planning and Policy Design (Milano Leonardo)EN
👈 شروع تحصيل: اکتبر 2019
👌 ددلاین :
2nd CALL : From JANUARY 10th to MARCH 7th
📨 براى اطلاعات بيشتر و آگاهی از مدارک مورد نياز با ما در تماس باشید:
Italy Admin: @ApplyTime_Italy
✔️ @ApplyTime
👈 زبان تحصيل: انگليسى (ارائه مدرک زبان IELTS 6.0 or higher) (ارائه مدرک زبان در زمان اپلای الزامی نیست) (یکی از پروسه های اپلای دانشگاه پلی تکنیک میلان، ارسال یک نسخه کپی از مدارک با پلمپ دارلترجمه برای دانشگاه می باشد)
💶 شهريه سالانه: 200 یورو (در صورت دریافت بورسیه استانی)
💰 بورسیه: با امکان دریافت بورسیهی تحصیلی به میزان ۵۰۰۰ یورو سالانه
📰 مدرک زبان مورد نياز جهت اخذ ویزا: 78 تافل یا 6 آیلتس
🎓 رشتهها:
Aeronautical Engineering (Milano Bovisa)EN
Architectural Design and History (Mantova) EN
Automation and Control Engineering (Milano Leonardo)EN
Building and Architectural Engineering (Lecco, Milano Leonardo)EN
Chemical Engineering (Milano Leonardo)EN
Civil Engineering for Risk Mitigation (Lecco)EN
Computer Science and Engineering (Milano Leonardo)EN
Computer Science and Engineering (Como)EN
Design & Engineering (Milano Bovisa)EN
Design for the Fashion System (Milano Bovisa)EN
Digital and Interaction Design (Milano Bovisa)EN
Electronics Engineering (Milano Leonardo)EN
Engineering Physics (Milano Leonardo)EN
Geoinformatics Engineering (Milano Leonardo)EN
Landscape Architecture. Land Landscape Heritage (Milano Leonardo)EN
Management Engineering (Milano Bovisa)EN
Management of Built Environment (Milano Leonardo)EN
Materials Engineering and Nanotechnology (Milano Leonardo)EN
Mathematical Engineering (Milano Leonardo)EN
Mechanical Engineering (Milano Bovisa, Piacenza)EN
Mechanical Engineering (Lecco)EN
Music and Acoustic Engineering (Cremona, Milano Leonardo)EN
Nuclear Engineering (Milano Bovisa)EN
Product Service System Design (Milano Bovisa)EN
Space Engineering (Milano Bovisa)EN
Sustainable Architecture and Landscape Design (Piacenza)EN
Telecommunication Engineering (Milano Leonardo)EN
Urban Planning and Policy Design (Milano Leonardo)EN
👈 شروع تحصيل: اکتبر 2019
👌 ددلاین :
2nd CALL : From JANUARY 10th to MARCH 7th
📨 براى اطلاعات بيشتر و آگاهی از مدارک مورد نياز با ما در تماس باشید:
Italy Admin: @ApplyTime_Italy
✔️ @ApplyTime
Forwarded from Apply Time
✅ #كارشناسى_ارشد دانشگاه ساپینزا رم، #ایتالیا
👈 زبان تحصيل: انگليسى (دریافت پذیرش با ارائه مدرک زبان IELTS 5.0 or higher)
💶 شهريه سالانه: 280 یورو (در صورت دریافت بورسیه استانی)
💰 بورسیه: با امکان دریافت بورسیهی تحصیلی به میزان ۵۰۰۰ یورو سالانه
📰 مدرک زبان مورد نياز جهت اخذ ویزا: 78 تافل یا 6 آیلتس
🎓 رشتهها:
Architecture (Conservation)
Physics: Particle and Astroparticle Physics track
European Studies
Engineering in Computer Science
Artificial Intelligence and Robotics
Atmospheric Science and Technology
Business Management
Cognitive Neuroscience
Computer Science
Control Engineering
Cybersecurity
Data Science
Development and International Cooperation Sciences - Economics for Development
Economics
Economics and Communication for Management and Innovation
Electrical Engineering
Electronics Engineering
Energy Engineering
English and Anglo-American Studies
Fashion Studies
Mechanical Engineering
Nanotechnology Engineering
Product Design
Science and Technology for the Conservation of Cultural Heritage
Space and Astronautical Engineering
Special Degree in Aerospace Engineering
Statistical Methods and Applications
Transport Systems Engineering
👈 شروع تحصيل: اکتبر 2019
👌 ددلاین :
Deadline: 15th April
📨 براى اطلاعات بيشتر و آگاهی از مدارک مورد نياز با ما در تماس باشید:
Italy Admin: @ApplyTime_Italy
✔️ @ApplyTime
👈 زبان تحصيل: انگليسى (دریافت پذیرش با ارائه مدرک زبان IELTS 5.0 or higher)
💶 شهريه سالانه: 280 یورو (در صورت دریافت بورسیه استانی)
💰 بورسیه: با امکان دریافت بورسیهی تحصیلی به میزان ۵۰۰۰ یورو سالانه
📰 مدرک زبان مورد نياز جهت اخذ ویزا: 78 تافل یا 6 آیلتس
🎓 رشتهها:
Architecture (Conservation)
Physics: Particle and Astroparticle Physics track
European Studies
Engineering in Computer Science
Artificial Intelligence and Robotics
Atmospheric Science and Technology
Business Management
Cognitive Neuroscience
Computer Science
Control Engineering
Cybersecurity
Data Science
Development and International Cooperation Sciences - Economics for Development
Economics
Economics and Communication for Management and Innovation
Electrical Engineering
Electronics Engineering
Energy Engineering
English and Anglo-American Studies
Fashion Studies
Mechanical Engineering
Nanotechnology Engineering
Product Design
Science and Technology for the Conservation of Cultural Heritage
Space and Astronautical Engineering
Special Degree in Aerospace Engineering
Statistical Methods and Applications
Transport Systems Engineering
👈 شروع تحصيل: اکتبر 2019
👌 ددلاین :
Deadline: 15th April
📨 براى اطلاعات بيشتر و آگاهی از مدارک مورد نياز با ما در تماس باشید:
Italy Admin: @ApplyTime_Italy
✔️ @ApplyTime
PhD position in Machine Learning and Data Analysis for High Accuracy Head Tracking in Cranial Radiation Therapy
The Institute for Robotics and Cognitive Systems, directed by Prof. Dr. A. Schweikard, (www.rob.uni-luebeck.de) at the University of Lübeck has one open PhD position
in the research group led by Prof. Dr. F. Ernst (ernst@rob.uni-luebeck.de, +49 451 500 5208). The student will participate in a currently active research project, called
Machine Learning and Data Analysis for High Accuracy Head
Tracking in Cranial Radiation Therapy
In the past five years, the Institute for Robotics and Cognitive Systems, in collaboration with Varian Medical Systems (Palo Alto, California and Baden, Switzerland), has developed a novel scanning method for non-invasive and contact-free localization of the human skull using infrared laser radiation. Further development of the device in terms of accuracy and capabilities will be part of the student’s responsibilities. For details please see https://www.rob.uni-luebeck.de/index.php?id=336&L=1.
There are multiple open research questions in the project, ranging from biomedical optics to systems engineering, clinical data acquisition, artificial intelligence, deep learning and evaluation as well as image and signal processing.
The position is part of the PhD programme at the Graduate School for Computing in Medicine and Life Sciences (www.gradschool.uni-luebeck.de). The PhD position is funded for three years with a scholarship of 1600 EUR per month.
Requirements
Applicants are expected to have a first class or distinction master’s degree in, e.g., computer science, mathematics, physics or engineering. A strong background in machine learning, software engineering or image processing is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required.
How to apply
A full application consists of:
1. a detailed CV
2. a statement of motivation
3. two reference letters
4. degree certificates and grade transcripts (master and bachelor)
5. summary (1-2 pages) of the master’s thesis
Please submit your application in ONE PDF file via email to jobs@rob.uni-luebeck.de.
Closing date
The application deadline is 28 February 2019.
✔️ @ApplyTime
The Institute for Robotics and Cognitive Systems, directed by Prof. Dr. A. Schweikard, (www.rob.uni-luebeck.de) at the University of Lübeck has one open PhD position
in the research group led by Prof. Dr. F. Ernst (ernst@rob.uni-luebeck.de, +49 451 500 5208). The student will participate in a currently active research project, called
Machine Learning and Data Analysis for High Accuracy Head
Tracking in Cranial Radiation Therapy
In the past five years, the Institute for Robotics and Cognitive Systems, in collaboration with Varian Medical Systems (Palo Alto, California and Baden, Switzerland), has developed a novel scanning method for non-invasive and contact-free localization of the human skull using infrared laser radiation. Further development of the device in terms of accuracy and capabilities will be part of the student’s responsibilities. For details please see https://www.rob.uni-luebeck.de/index.php?id=336&L=1.
There are multiple open research questions in the project, ranging from biomedical optics to systems engineering, clinical data acquisition, artificial intelligence, deep learning and evaluation as well as image and signal processing.
The position is part of the PhD programme at the Graduate School for Computing in Medicine and Life Sciences (www.gradschool.uni-luebeck.de). The PhD position is funded for three years with a scholarship of 1600 EUR per month.
Requirements
Applicants are expected to have a first class or distinction master’s degree in, e.g., computer science, mathematics, physics or engineering. A strong background in machine learning, software engineering or image processing is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required.
How to apply
A full application consists of:
1. a detailed CV
2. a statement of motivation
3. two reference letters
4. degree certificates and grade transcripts (master and bachelor)
5. summary (1-2 pages) of the master’s thesis
Please submit your application in ONE PDF file via email to jobs@rob.uni-luebeck.de.
Closing date
The application deadline is 28 February 2019.
✔️ @ApplyTime
www.rob.uni-luebeck.de
High-Accuracy Head Tracking
#دعوت_به_همکاری
در صورتی که پیشینهی تحصیلی شما در فصل مشترک #فایننس یا #اقتصاد، و #ریاضی، #فیزیک یا #یادگیری_ماشین است، جهت همکاری با ما در ارتباط باشید. متقاضیان با حداقل مدرک ارشد (ترجیحا مدرک دکتری) در اولویت قرار دارند.
در صورت تمایل از طریق ایمیل و یا تلگرام رزومهی خود را برای ما ارسال نمایید.
با تشکر
اپلای تایم
📧 Email: applytime.ir@gmail.com
🎭 Admin: @Dr_Apply
در صورتی که پیشینهی تحصیلی شما در فصل مشترک #فایننس یا #اقتصاد، و #ریاضی، #فیزیک یا #یادگیری_ماشین است، جهت همکاری با ما در ارتباط باشید. متقاضیان با حداقل مدرک ارشد (ترجیحا مدرک دکتری) در اولویت قرار دارند.
در صورت تمایل از طریق ایمیل و یا تلگرام رزومهی خود را برای ما ارسال نمایید.
با تشکر
اپلای تایم
📧 Email: applytime.ir@gmail.com
🎭 Admin: @Dr_Apply
سلام. امیدوارم حالتون خوب باشه. من برای پزشکی ایتالیا یا همون آزمون آلفا میخوام اپلای کنم. یه سری کارها مث آزمون زبان رو انجام دادم و حالا میخوام سایر کارها رو انجام بدم اما نیاز به کمک دارم. مایل هستم که بخشی از کارهامون رو به کسی واگذار کنم که هم اکنون خودش پزشکی به زبان ایتالیایی در ایتالیا می خونه. ممنونم میشم اگه چنین دانشجویی رو میشناسین به من معرفی کنین. با تشکر.
📑 اگر در بین خوانندگان این پست، فردی وجود دارد که دانشجوی پزشکی به زبان ایتالیایی در ایتالیا هست و میتواند انجام امور اپلای برای این دانشجو را به عهده بگیرد، لطفا پیامی به ادمین کانال ارسال نماید:
🎭 Admin: @Dr_Apply
#ایتالیا #آلفا #پزشکی
✔️ @ApplyTime
📑 اگر در بین خوانندگان این پست، فردی وجود دارد که دانشجوی پزشکی به زبان ایتالیایی در ایتالیا هست و میتواند انجام امور اپلای برای این دانشجو را به عهده بگیرد، لطفا پیامی به ادمین کانال ارسال نماید:
🎭 Admin: @Dr_Apply
#ایتالیا #آلفا #پزشکی
✔️ @ApplyTime
PhD Positions in Computational Neuroscience
Biocomputation Research Group
Centre for Computer Science and Informatics Research
University of Hertfordshire
UK
Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. Projects involve the development and simulation of models of neurons and neuronal networks to study information processing in the brain and /or the application of machine learning techniques for the analysis of neural data. A description of our research interests and a list of publications can be found on our webpage (http://biocomputation.herts.ac.uk/).
Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible.
Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.
Please contact Dr Volker Steuber for informal enquiries. Application forms are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science and should be returned to
✔️ @ApplyTime
Biocomputation Research Group
Centre for Computer Science and Informatics Research
University of Hertfordshire
UK
Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. Projects involve the development and simulation of models of neurons and neuronal networks to study information processing in the brain and /or the application of machine learning techniques for the analysis of neural data. A description of our research interests and a list of publications can be found on our webpage (http://biocomputation.herts.ac.uk/).
Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible.
Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.
Please contact Dr Volker Steuber for informal enquiries. Application forms are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science and should be returned to
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PhD position - Mobility Information Engineering
The main objective of this PhD position is the development and testing of innovative computational methods for the analysis, simulation and forecasting of human mobility based on spatio-temporal data. This research will be linked to the Action Plan Digitalization within the Swiss Competence Center for Energy Research - Efficient Technologies and Systems for Mobility (SCCER Mobility) and related projects. The PhD position will be associated with the Mobility Information Engineering Lab and supervised by Prof. Dr. Martin Raubal (Chair of Geoinformation Engineering).
The ideal candidate must have an academic degree in Geomatics, Computer Science, Information Science, or related fields, as well as a strong research interest in sustainable mobility. Knowledge of methods in spatial analysis and machine learning, as well as strong programming skills (e.g., Java, Python or C++) are required. Knowledge of GIS and spatial databases is a plus. The candidate must have good communication skills in English (oral and writing), be team-oriented and willing to work in an international environment.
We look forward to receiving your online application including the following documents: application letter, CV, short statement of research interests, full academic records, such as Bachelors and Masters degrees, and names and addresses of at least two references. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Review of applications will begin on June, 1st, 2019, and continue until the position is filled.
For further information about the position, please contact Prof. Dr. Martin Raubal at mraubal@ethz.ch (no applications).
Apply Now
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The main objective of this PhD position is the development and testing of innovative computational methods for the analysis, simulation and forecasting of human mobility based on spatio-temporal data. This research will be linked to the Action Plan Digitalization within the Swiss Competence Center for Energy Research - Efficient Technologies and Systems for Mobility (SCCER Mobility) and related projects. The PhD position will be associated with the Mobility Information Engineering Lab and supervised by Prof. Dr. Martin Raubal (Chair of Geoinformation Engineering).
The ideal candidate must have an academic degree in Geomatics, Computer Science, Information Science, or related fields, as well as a strong research interest in sustainable mobility. Knowledge of methods in spatial analysis and machine learning, as well as strong programming skills (e.g., Java, Python or C++) are required. Knowledge of GIS and spatial databases is a plus. The candidate must have good communication skills in English (oral and writing), be team-oriented and willing to work in an international environment.
We look forward to receiving your online application including the following documents: application letter, CV, short statement of research interests, full academic records, such as Bachelors and Masters degrees, and names and addresses of at least two references. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Review of applications will begin on June, 1st, 2019, and continue until the position is filled.
For further information about the position, please contact Prof. Dr. Martin Raubal at mraubal@ethz.ch (no applications).
Apply Now
✔️ @ApplyTime
Post-doc in Computational Neuroimaging of Decision-Making
We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds.
The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand.
The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable.
Interested candidates are invited to contact Dr. Ioannis Delis (i.delis@leeds.ac.uk), email their CV and briefly explain their interest in this position. Starting date is flexible.
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We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds.
The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand.
The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable.
Interested candidates are invited to contact Dr. Ioannis Delis (i.delis@leeds.ac.uk), email their CV and briefly explain their interest in this position. Starting date is flexible.
✔️ @ApplyTime