Ph.D Position is available immediately in the Institute of Polymer Chemistry of the University of Stuttgart
requirements
This position is for at least 3 years, salary scale TV-L E13 (50%), and the applicant should have a master degree in chemistry or chemical engineering, or materials science, and possess a good understanding of electrochemistry and electrochemical methods. Previous experience with other lithium battery systems is useful. Experience in polymer chemistry, inert atmosphere techniques and characterization techniques such as porosity/surface analysis are highly meritorious. The candidate must have excellent capabilities in written and oral English.
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requirements
This position is for at least 3 years, salary scale TV-L E13 (50%), and the applicant should have a master degree in chemistry or chemical engineering, or materials science, and possess a good understanding of electrochemistry and electrochemical methods. Previous experience with other lithium battery systems is useful. Experience in polymer chemistry, inert atmosphere techniques and characterization techniques such as porosity/surface analysis are highly meritorious. The candidate must have excellent capabilities in written and oral English.
More Info
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PhD Positions & Postdoctoral Positions Tracking Cell Plasticity in the Cardiovascular System
Interfaculty Institute of Biochemistry
Project 1: Transdifferentiation in atherosclerosis
Feil et al. (2014) Circ Res 115:662; Thunemann et al. (2017) Nat Commun 8:444
Project 2: cGMP in cell growth and survival
Dhayade et al. (2016) Cell Reports 14:2599; Thunemann et al. (2013) Circ Res 113:365
Project 3: cGMP & vascular mechanobiology
Wen et al. (2018) Nat Commun, in press; Thunemann et al. (2013) Circ Res 113:365
More Info
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Interfaculty Institute of Biochemistry
Project 1: Transdifferentiation in atherosclerosis
Feil et al. (2014) Circ Res 115:662; Thunemann et al. (2017) Nat Commun 8:444
Project 2: cGMP in cell growth and survival
Dhayade et al. (2016) Cell Reports 14:2599; Thunemann et al. (2013) Circ Res 113:365
Project 3: cGMP & vascular mechanobiology
Wen et al. (2018) Nat Commun, in press; Thunemann et al. (2013) Circ Res 113:365
More Info
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2 PhD positions in RNA Epigenetics and Bioanalytics, University of Freiburg
Two funded PhD positions are open in the Lönarz laboratory
2 PhD positions in RNA Epigenetics and Bioanalytics
Part-time position (50 %), Start-date: At the earliest possible date.
Two funded PhD positions are open in the Lönarz laboratory, located at the University of Freiburg (Germany) at the Institute of Pharmaceutical Sciences, Faculty of Chemistry and Pharmacy (http://www.loenarzlab.com). The Projects will focus on investigating the chemical biology of epigenetic RNA modifications and their effects on ribosomal protein synthesis.
The Lönarz laboratory uses novel molecular approaches to investigate how hypoxia and epigenetic modifications to nucleic acids affect gene Expression, primarily at the level of protein synthesis. The research has relevance to genetic diseases, obesity, and antibiotic resistance.
We look for highly motivated and creative students with strong interest in molecular sciences of pharmaceutical relevance.
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Two funded PhD positions are open in the Lönarz laboratory
2 PhD positions in RNA Epigenetics and Bioanalytics
Part-time position (50 %), Start-date: At the earliest possible date.
Two funded PhD positions are open in the Lönarz laboratory, located at the University of Freiburg (Germany) at the Institute of Pharmaceutical Sciences, Faculty of Chemistry and Pharmacy (http://www.loenarzlab.com). The Projects will focus on investigating the chemical biology of epigenetic RNA modifications and their effects on ribosomal protein synthesis.
The Lönarz laboratory uses novel molecular approaches to investigate how hypoxia and epigenetic modifications to nucleic acids affect gene Expression, primarily at the level of protein synthesis. The research has relevance to genetic diseases, obesity, and antibiotic resistance.
We look for highly motivated and creative students with strong interest in molecular sciences of pharmaceutical relevance.
More Info
✔️ @ApplyTime
1 Phd Position in the field of Ultrafast spectroscopy on molecules, University of Freiburg
The DFG-funded International Research Training Group "Cold Controlled Ensembles of Atoms and Molecules" offers:
1 Phd Position in the field of Ultrafast spectroscopy on molecules
Part-time position (75 %), Start-date: At the earliest possible date.
The experimental project is aimed at studying ultrafast electronic and nuclear dynamics in molecules by means of coincidence spectroscopy techniques. A cold molecular jet will be achieved by supersonic expansion of gases at high backing pressure. Mixture of different gases will be used to compare results obtained under the same experimental conditions. Photoionisation and photodissociation of the molecules will be triggered by the absorption of an extreme ultraviolet photon from an attosecond pulse train. Diatomic molecules (for example O2) or triatomic linear molecules (for example CO2 and OCS) will be investigated.
We are looking for excellent MSc graduates with a strong background in experimental Atomic and Molecular Physics. Experience in the use of ultrashort and high-repetition rate lasers, photoelectron and photoion spectrometers, and high-vacuum equipment is advantageous.
More Info
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The DFG-funded International Research Training Group "Cold Controlled Ensembles of Atoms and Molecules" offers:
1 Phd Position in the field of Ultrafast spectroscopy on molecules
Part-time position (75 %), Start-date: At the earliest possible date.
The experimental project is aimed at studying ultrafast electronic and nuclear dynamics in molecules by means of coincidence spectroscopy techniques. A cold molecular jet will be achieved by supersonic expansion of gases at high backing pressure. Mixture of different gases will be used to compare results obtained under the same experimental conditions. Photoionisation and photodissociation of the molecules will be triggered by the absorption of an extreme ultraviolet photon from an attosecond pulse train. Diatomic molecules (for example O2) or triatomic linear molecules (for example CO2 and OCS) will be investigated.
We are looking for excellent MSc graduates with a strong background in experimental Atomic and Molecular Physics. Experience in the use of ultrashort and high-repetition rate lasers, photoelectron and photoion spectrometers, and high-vacuum equipment is advantageous.
More Info
✔️ @ApplyTime
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TU Dresden, Department of Hydro Sciences, Institute of Hydrobiology offers a position as Research Associate / Postdoc in Microbiology
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Faculty Position in Data Science and Urban Systems in Civil and Environmental Engineering at Princeton University
Princeton University, Professorship. The Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a faculty position with a preferred start date of September 1, 2019. The search is open for an Assistant Professor appointment. A Ph.D. degree is required, in CEE, electrical engineering, computer science or a related field.
The department has a long history of innovation and creativity in research addressing important topics in civil and environmental engineering. This faculty position represents a move to connect this tradition to the emerging areas of data science, machine learning, and complexity. Examples of research scholarship for a faculty hire would be: remote sensing and computer vision of urban systems, sensors for sustainability and resilience of the built and natural environment, artificial intelligence for smart cities, cyber-physical systems, hydroinformatics, energy infrastructure and climate change adaptation. Candidates must have the ability and motivation to develop a vigorous independent research program and to participate in collaborative efforts of the faculty.
The faculty appointment would be primarily in the Department of Civil and Environmental Engineering, with the possibility for a joint appointment or association with another unit. The CEE department has strong ties with other departments, centers, and institutes at Princeton that focus on urban studies, architecture, art and archeology, energy, environment, and materials science; the successful candidate will have the opportunity to develop initiatives that establish and strengthen such connections. Teaching will include related foundational undergraduate and advanced graduate courses.
The department is committed to fostering an academic environment that acknowledges and encourages diversity and differences. The successful candidate will pursue academic excellence in diverse, multicultural, and inclusive settings.
Review of applications will begin November 15, 2018 and continue until the position is filled. Applicants should apply online at https://www.princeton.edu/acad-positions/position/8861 job requisition number D-19-CEE-00002; and should submit their application cover letter, CV, contact information for three references, separate statements of research and teaching vision, and up to three representative papers through the online application system. Inquiries regarding this position should be addressed to the Chair of the Search Committee, Prof. Amilcare Porporato (aporpora@princeton.edu).
Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the university's background check policy.
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Princeton University, Professorship. The Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a faculty position with a preferred start date of September 1, 2019. The search is open for an Assistant Professor appointment. A Ph.D. degree is required, in CEE, electrical engineering, computer science or a related field.
The department has a long history of innovation and creativity in research addressing important topics in civil and environmental engineering. This faculty position represents a move to connect this tradition to the emerging areas of data science, machine learning, and complexity. Examples of research scholarship for a faculty hire would be: remote sensing and computer vision of urban systems, sensors for sustainability and resilience of the built and natural environment, artificial intelligence for smart cities, cyber-physical systems, hydroinformatics, energy infrastructure and climate change adaptation. Candidates must have the ability and motivation to develop a vigorous independent research program and to participate in collaborative efforts of the faculty.
The faculty appointment would be primarily in the Department of Civil and Environmental Engineering, with the possibility for a joint appointment or association with another unit. The CEE department has strong ties with other departments, centers, and institutes at Princeton that focus on urban studies, architecture, art and archeology, energy, environment, and materials science; the successful candidate will have the opportunity to develop initiatives that establish and strengthen such connections. Teaching will include related foundational undergraduate and advanced graduate courses.
The department is committed to fostering an academic environment that acknowledges and encourages diversity and differences. The successful candidate will pursue academic excellence in diverse, multicultural, and inclusive settings.
Review of applications will begin November 15, 2018 and continue until the position is filled. Applicants should apply online at https://www.princeton.edu/acad-positions/position/8861 job requisition number D-19-CEE-00002; and should submit their application cover letter, CV, contact information for three references, separate statements of research and teaching vision, and up to three representative papers through the online application system. Inquiries regarding this position should be addressed to the Chair of the Search Committee, Prof. Amilcare Porporato (aporpora@princeton.edu).
Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the university's background check policy.
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Postdoctoral research fellow in watershed modelling, Aathabasca University, Canada
We are seeking outstanding candidates to undertake cutting-edge research on
computational sustainability and environmental analytics funded by Campus
Alberta Innovates Program (CAIP). This is an excellent opportunity for
enthusiastic and ambitious researchers to use state-of-the-art approaches to
make an impact in a fast-moving field of research. Our research can refer our publications.
More Info
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We are seeking outstanding candidates to undertake cutting-edge research on
computational sustainability and environmental analytics funded by Campus
Alberta Innovates Program (CAIP). This is an excellent opportunity for
enthusiastic and ambitious researchers to use state-of-the-art approaches to
make an impact in a fast-moving field of research. Our research can refer our publications.
More Info
✔️ @ApplyTime
Assistant Professor in Clinical Neuroscience at Indiana University
The Department of Psychological and Brain Sciences at Indiana University – Bloomington seeks to fill a faculty position in the field of clinical neuroscience at the level of Assistant Professor (tenure-track) to begin August 2019. The applicant should have an established, independent, theoretically rigorous research program in clinical neuroscience using neuroimaging, broadly construed, aimed at informing our knowledge on etiology, assessment, and/or treatment of clinical phenomena and discovering mechanistic explanations for specific cognitive, social, affective, and developmental processes in typical and atypical individuals. The candidate should have expertise in cognitive-, social-, developmental-, affective-, or computational-neuroscience and thoroughly leverage this expertise to understand psychological disorders. Applicants for this position should have a doctorate, a strong record of publication, and show potential for research funding.
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All applications are welcome, and we especially encourage those from minority group members and women. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, marital status, national origin, disability status or protected veteran status.
For best consideration, please apply by October 12, 2018. The full job posting and application instructions can be found at: https://indiana.peopleadmin.com/postings/4343.
✔️ @ApplyTime
The Department of Psychological and Brain Sciences at Indiana University – Bloomington seeks to fill a faculty position in the field of clinical neuroscience at the level of Assistant Professor (tenure-track) to begin August 2019. The applicant should have an established, independent, theoretically rigorous research program in clinical neuroscience using neuroimaging, broadly construed, aimed at informing our knowledge on etiology, assessment, and/or treatment of clinical phenomena and discovering mechanistic explanations for specific cognitive, social, affective, and developmental processes in typical and atypical individuals. The candidate should have expertise in cognitive-, social-, developmental-, affective-, or computational-neuroscience and thoroughly leverage this expertise to understand psychological disorders. Applicants for this position should have a doctorate, a strong record of publication, and show potential for research funding.
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All applications are welcome, and we especially encourage those from minority group members and women. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, marital status, national origin, disability status or protected veteran status.
For best consideration, please apply by October 12, 2018. The full job posting and application instructions can be found at: https://indiana.peopleadmin.com/postings/4343.
✔️ @ApplyTime
PhD scholarships at the Department of Economics, University of Copenhagen
Applications are invited for PhD scholarships at the Department of Economics, UCPH. The chosen candidates will enrol at the Faculty of Social Sciences under Copenhagen Graduate School of Social Sciences. Employment is to begin on 1 February 2019.
Deadline for applications: 1 November 2018.
The PhD programme provides PhD students with strong research training which opens up a window of opportunity to research careers, and a variety of careers within the private and public sectors. The programme includes the drafting of a PhD thesis, active participation in research networks, PhD courses, teaching, and other forms of knowledge dissemination. The PhD programme can be undertaken as a three year full-time study within the framework of the 5+3 study programme, or as a four year full-time study programme within the framework of the 4+4 study programme.
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Applications are invited for PhD scholarships at the Department of Economics, UCPH. The chosen candidates will enrol at the Faculty of Social Sciences under Copenhagen Graduate School of Social Sciences. Employment is to begin on 1 February 2019.
Deadline for applications: 1 November 2018.
The PhD programme provides PhD students with strong research training which opens up a window of opportunity to research careers, and a variety of careers within the private and public sectors. The programme includes the drafting of a PhD thesis, active participation in research networks, PhD courses, teaching, and other forms of knowledge dissemination. The PhD programme can be undertaken as a three year full-time study within the framework of the 5+3 study programme, or as a four year full-time study programme within the framework of the 4+4 study programme.
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PhD scholarship in Methane Production and Carbon Capture through Hydrate Swapping
DTU Chemical Engineering invites applications for a 3-year PhD position in Methane production and carbon capture through hydrate swapping.
This project considers the problem of using carbon dioxide to produce the vast resources of natural gas locked up as solid gas hydrates in permafrost and oceanic margin zones. The natural gas hydrates are converted to CO2 hydrates, thereby storing CO2 (the major greenhouse gas) while simultaneously releasing natural gas. This so-called “swapping” process, whereby methane (the major component in natural gas) in the hydrate is replaced by CO2, allows for production of natural gas from hydrate without adversely affecting the stability of the solid hydrate.
Responsibilities and tasks
The project will involve thermodynamic and kinetic modeling of gas hydrate systems and processes as well as molecular simulation, for example to probe the formation of CO2 hydrate and dissociation of CH4 hydrate in a production/storage scenario.
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DTU Chemical Engineering invites applications for a 3-year PhD position in Methane production and carbon capture through hydrate swapping.
This project considers the problem of using carbon dioxide to produce the vast resources of natural gas locked up as solid gas hydrates in permafrost and oceanic margin zones. The natural gas hydrates are converted to CO2 hydrates, thereby storing CO2 (the major greenhouse gas) while simultaneously releasing natural gas. This so-called “swapping” process, whereby methane (the major component in natural gas) in the hydrate is replaced by CO2, allows for production of natural gas from hydrate without adversely affecting the stability of the solid hydrate.
Responsibilities and tasks
The project will involve thermodynamic and kinetic modeling of gas hydrate systems and processes as well as molecular simulation, for example to probe the formation of CO2 hydrate and dissociation of CH4 hydrate in a production/storage scenario.
More Info
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Post-doctoral position available within the NanoBeam Group of the Max Planck Institute for Solid State Research, Stuttgart, Germany.
NanoBeam is an independent group headed by Dr. Nahid Talebi, funded by the European Research Council and the Max Planck Society. We seek researchers with an outstanding background in physics, physical chemistry, or electrical engineering, to help the PI to control the interaction of electron beams and light with functional materials. The ambition of the NanoBeam group is to develop a novel spectral interferometry technique with electron beams to characterize and control the mechanisms of charge and energy transfer in functional materials.
Eligibility
Applications are invited from highly qualified scientists with a proven track record. Applicants must hold a PhD degree in physics or related fields and have experience in working with scanning electron microscopes. Previous experience with in-situ experimental setups and a cathodoluminescence system is highly beneficial.
Job description
The experimental work involves design and realization of a nanorobotic system for the purpose of loading and positioning an electron-driven photon source and performing experiments using the developed system, in collaboration with other members of the group.
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NanoBeam is an independent group headed by Dr. Nahid Talebi, funded by the European Research Council and the Max Planck Society. We seek researchers with an outstanding background in physics, physical chemistry, or electrical engineering, to help the PI to control the interaction of electron beams and light with functional materials. The ambition of the NanoBeam group is to develop a novel spectral interferometry technique with electron beams to characterize and control the mechanisms of charge and energy transfer in functional materials.
Eligibility
Applications are invited from highly qualified scientists with a proven track record. Applicants must hold a PhD degree in physics or related fields and have experience in working with scanning electron microscopes. Previous experience with in-situ experimental setups and a cathodoluminescence system is highly beneficial.
Job description
The experimental work involves design and realization of a nanorobotic system for the purpose of loading and positioning an electron-driven photon source and performing experiments using the developed system, in collaboration with other members of the group.
More Info
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Post Doc Research Scientist in Material Science & Eng Dept, Boise State University
Position Overview:
The Nucleic Acid Memory Institute, within the Micron School of Materials Science and Engineering (MSMSE) at Boise State University, is seeking multiple postdoctoral research scientists with strong experimental, analytical, and/or computational skills in the area of DNA nanotechnology. The postdoctoral research scientists will be integral members of a multidisciplinary research team dedicated to becoming global leaders in the research, development, and education of nucleic acid memory (NAM).
Our vision is to pioneer a digital data storage paradigm by designing, building, and testing accessible, editable, and non-volatile NAM technologies that are inspired by DNA circuits and made possible by our innovations in DNA nanotechnology, optical physics, as well as the materials, biological, and computational sciences. This nationally competitive funded research (NSF Award ECCS-1807809), will focus on designing, synthesizing, and characterizing functional DNA nanostructures for applications in nucleic acid memory. The nanostructures will form the foundation for two NAM storage prototypes: digital NAM (dNAM) and sequence NAM (seqNAM).
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Position Overview:
The Nucleic Acid Memory Institute, within the Micron School of Materials Science and Engineering (MSMSE) at Boise State University, is seeking multiple postdoctoral research scientists with strong experimental, analytical, and/or computational skills in the area of DNA nanotechnology. The postdoctoral research scientists will be integral members of a multidisciplinary research team dedicated to becoming global leaders in the research, development, and education of nucleic acid memory (NAM).
Our vision is to pioneer a digital data storage paradigm by designing, building, and testing accessible, editable, and non-volatile NAM technologies that are inspired by DNA circuits and made possible by our innovations in DNA nanotechnology, optical physics, as well as the materials, biological, and computational sciences. This nationally competitive funded research (NSF Award ECCS-1807809), will focus on designing, synthesizing, and characterizing functional DNA nanostructures for applications in nucleic acid memory. The nanostructures will form the foundation for two NAM storage prototypes: digital NAM (dNAM) and sequence NAM (seqNAM).
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Doctoral or postdoctoral researcher position: Modelling global economic and environmental
effects of policies and technological innovation in the Bioeconomy, University of Bonn
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effects of policies and technological innovation in the Bioeconomy, University of Bonn
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Postdoc Scholar - Department Surgery UH
We are a highly translational lab led by the Chief of Surgical Oncology, with NCI funding in place for the next 7 years. Pancreatic cancer is the most aggressive of the common cancers, with the worst survival and is expected to be the second leading cause of cancer death in the next decade. We are focused on helping to solve this problem, and eager to identify a post-doc with the same aspiration. Importantly, the post-doc must work well with others, and have a desire to help cancer patients as a principal motivation for their work. The post-doc position is a key one within the lab. The post-doc will work closely with the PI to lead these efforts, and will be responsible for planning and execution of experiments. The lab works closely with other PI's at the Case Comprehensive Cancer Center, as well as clinical departments at University Hospitals, including collaborations with a multidisciplinary team of biologists, statisticians, and clinicians. The qualified candidate will prepare manuscripts and contribute preliminary data, background and significance and experimental design for grant proposals. The work focuses more specifically on understanding how pancreatic cancer cells adapt to survive and thrive in a harsh metabolic milieu, and additionally how metabolic reprogramming confers resistance to both conventional chemotherapy and novel immunotherapies. Additional projects in the lab include the development of novel drug discovery platforms, and studying molecular mechanisms that underlie pancreatic cancer-associated depression. Lab work will involve tissue culture; DNA, RNA, and protein-related assays; drug-sensitivity assays, and small animal work. Additionally, studies will interface with experts in pathology, biostatistics, medicinal chemistry and other specialties. The candidate should be able to work independently, read and critically interpret the literature, assist with designing and planning of projects, oversee collaborations, supervise students, manage animal models, and to carry out research on the assigned project. They will also be encouraged to apply for grants to gain experience and support future projects.
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We are a highly translational lab led by the Chief of Surgical Oncology, with NCI funding in place for the next 7 years. Pancreatic cancer is the most aggressive of the common cancers, with the worst survival and is expected to be the second leading cause of cancer death in the next decade. We are focused on helping to solve this problem, and eager to identify a post-doc with the same aspiration. Importantly, the post-doc must work well with others, and have a desire to help cancer patients as a principal motivation for their work. The post-doc position is a key one within the lab. The post-doc will work closely with the PI to lead these efforts, and will be responsible for planning and execution of experiments. The lab works closely with other PI's at the Case Comprehensive Cancer Center, as well as clinical departments at University Hospitals, including collaborations with a multidisciplinary team of biologists, statisticians, and clinicians. The qualified candidate will prepare manuscripts and contribute preliminary data, background and significance and experimental design for grant proposals. The work focuses more specifically on understanding how pancreatic cancer cells adapt to survive and thrive in a harsh metabolic milieu, and additionally how metabolic reprogramming confers resistance to both conventional chemotherapy and novel immunotherapies. Additional projects in the lab include the development of novel drug discovery platforms, and studying molecular mechanisms that underlie pancreatic cancer-associated depression. Lab work will involve tissue culture; DNA, RNA, and protein-related assays; drug-sensitivity assays, and small animal work. Additionally, studies will interface with experts in pathology, biostatistics, medicinal chemistry and other specialties. The candidate should be able to work independently, read and critically interpret the literature, assist with designing and planning of projects, oversee collaborations, supervise students, manage animal models, and to carry out research on the assigned project. They will also be encouraged to apply for grants to gain experience and support future projects.
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Academic Careers | Case Western Reserve University
Postdoc Scholar - Department Surgery UH | Academic Careers | Case Western Reserve University
, , , , , POSITION OBJECTIVE We are a highly translational lab led by the Chief of Surgical Oncology, with NCI funding in place for the next 7 years....
PhD in machine learning and computer vision at ETS Montreal
*Efficient Deep Learning for Training and Inference**
Applications are invited for a funded PhD position in computer vision and machine learning at ETS
Montreal, Canada. The candidate will work under the supervision of Prof. Marco Pedersoli at ETS
Montreal and Prof. Hakan Bilen at University of Edinburgh. The position is available immediately after the
candidate passes ETS application requirements. Financial support is available for the project’s duration
(maximum of 3-4 years).
We are looking for highly motivated doctoral students, who are interested in performing cutting-edge
research in computationally efficient deep learning models, with a particular focus on problems regarding
networks training and optimization, compression and fast inference.
Prospective applicants should have:
● Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics,
or electrical engineering, preferably with expertise in one or more of the following areas: machine
learning, deep learning, computer vision;
● A good mathematical background;
● Very good programming skills in languages such as Python, C, C++ and deep learning libraries
such as TensorFlow or Pytorch
A prior publication in one of the major conferences or journals in computer vision/machine learning is not
necessary but would be a very desirable.
Application process: For consideration, please send by October 15th a resume, names and contact details
of two references, transcripts for undergraduate and graduate studies, and a link to a Master thesis (as well
as relevant publications if any) with a title [Prospective PhD student] to
Marco Pedersoli (Marco.Pedersoli@etsmtl.ca) and Hakan Bilen (hbilen@ed.ac.uk)
✔️ @ApplyTime
*Efficient Deep Learning for Training and Inference**
Applications are invited for a funded PhD position in computer vision and machine learning at ETS
Montreal, Canada. The candidate will work under the supervision of Prof. Marco Pedersoli at ETS
Montreal and Prof. Hakan Bilen at University of Edinburgh. The position is available immediately after the
candidate passes ETS application requirements. Financial support is available for the project’s duration
(maximum of 3-4 years).
We are looking for highly motivated doctoral students, who are interested in performing cutting-edge
research in computationally efficient deep learning models, with a particular focus on problems regarding
networks training and optimization, compression and fast inference.
Prospective applicants should have:
● Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics,
or electrical engineering, preferably with expertise in one or more of the following areas: machine
learning, deep learning, computer vision;
● A good mathematical background;
● Very good programming skills in languages such as Python, C, C++ and deep learning libraries
such as TensorFlow or Pytorch
A prior publication in one of the major conferences or journals in computer vision/machine learning is not
necessary but would be a very desirable.
Application process: For consideration, please send by October 15th a resume, names and contact details
of two references, transcripts for undergraduate and graduate studies, and a link to a Master thesis (as well
as relevant publications if any) with a title [Prospective PhD student] to
Marco Pedersoli (Marco.Pedersoli@etsmtl.ca) and Hakan Bilen (hbilen@ed.ac.uk)
✔️ @ApplyTime
Dear all,
We are offering two CSIRO top-up scholarships within LASC team/Data61 (https://research.csiro.au/lasc/) in two projects as listed below. For eligibility and more information on how to apply please refer to this page:
https://jobs.csiro.au/job/Various-CSIRO-Postgraduate-Scholarships-Data61/496689700/
* Project 1: Text-mining for Clinical Decision Support
Natural language processing and information retrieval techniques have long been explored in real-world applications such as healthcare. However, there are still many problems within the healthcare that are in need of text processing techniques to advance their current state. Clinical decision support for cancer patient is one of these applications. This project intends to extend on the recent tasks proposed by TREC Clinical Decision Support and TREC Precision Medicine (http://www.trec-cds.org/) to develop text search and processing techniques that extracts relevant information given a patients condition and history to the medical practitioners. This project will focus on extracting relevant to a patient given information such a clinical notes, disease or demographics background from the literature and clinical trials. The candidate will work on information extraction techniques, as well as search and information retrieval algorithms.
Students applying for this scholarship should have a background in computer science/engineering. Should be interested in one or more of the following:
1- Natural language processing especially information extraction or text summarisation,
2- Machine learning techniques, such as support vector machines, or neural networks
3- Search and Information retrieval techniques, such as different ranking models
The student is expected to have Python programming skills. Familiarity with Scikit-learn, PyTorch or Tensorflow and experience in running code in clusters is a plus.
Contact: Dr Sarvnaz Karimi (firstname.lastname@csiro.au)
* Project 2: Figurative Language Detection and interpretation for Public Health
Figurative language (such as metaphors or sarcasm) has proven to be challenging for natural language processing tasks such as sentiment analysis. Therefore, approaches that understand (detect/interpret) figurative language have been reported in the past. In the context of public health monitoring, figurative language detection and interpretation assumes importance because figurative language may reflect emotional states arising due to a health condition. The project aims to apply advances in machine learning to improve figurative language processing and public health monitoring using textual datasets.
Contact: Dr Aditya Joshi (firstname.lastname@csiro.au)
Please feel free to forward this to potential applicants.
Kind regards,
Dr Sarvnaz Karimi
Senior Research Scientist | Language and Social Computing Team
✔️ @ApplyTime
We are offering two CSIRO top-up scholarships within LASC team/Data61 (https://research.csiro.au/lasc/) in two projects as listed below. For eligibility and more information on how to apply please refer to this page:
https://jobs.csiro.au/job/Various-CSIRO-Postgraduate-Scholarships-Data61/496689700/
* Project 1: Text-mining for Clinical Decision Support
Natural language processing and information retrieval techniques have long been explored in real-world applications such as healthcare. However, there are still many problems within the healthcare that are in need of text processing techniques to advance their current state. Clinical decision support for cancer patient is one of these applications. This project intends to extend on the recent tasks proposed by TREC Clinical Decision Support and TREC Precision Medicine (http://www.trec-cds.org/) to develop text search and processing techniques that extracts relevant information given a patients condition and history to the medical practitioners. This project will focus on extracting relevant to a patient given information such a clinical notes, disease or demographics background from the literature and clinical trials. The candidate will work on information extraction techniques, as well as search and information retrieval algorithms.
Students applying for this scholarship should have a background in computer science/engineering. Should be interested in one or more of the following:
1- Natural language processing especially information extraction or text summarisation,
2- Machine learning techniques, such as support vector machines, or neural networks
3- Search and Information retrieval techniques, such as different ranking models
The student is expected to have Python programming skills. Familiarity with Scikit-learn, PyTorch or Tensorflow and experience in running code in clusters is a plus.
Contact: Dr Sarvnaz Karimi (firstname.lastname@csiro.au)
* Project 2: Figurative Language Detection and interpretation for Public Health
Figurative language (such as metaphors or sarcasm) has proven to be challenging for natural language processing tasks such as sentiment analysis. Therefore, approaches that understand (detect/interpret) figurative language have been reported in the past. In the context of public health monitoring, figurative language detection and interpretation assumes importance because figurative language may reflect emotional states arising due to a health condition. The project aims to apply advances in machine learning to improve figurative language processing and public health monitoring using textual datasets.
Contact: Dr Aditya Joshi (firstname.lastname@csiro.au)
Please feel free to forward this to potential applicants.
Kind regards,
Dr Sarvnaz Karimi
Senior Research Scientist | Language and Social Computing Team
✔️ @ApplyTime
The Bocconi PhD School provides 4 scholarships for the PhD in Statistics and a position with tuition waiver.
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
Applications are due by February 1, 2019.
Within the Bocconi PhD School, the four-year PhD program in Statistics provides a solid grounding for high level research in Statistics, Probability and Data Science.
The curriculum is organized over two years of courses and two years entirely devoted to research. Students gain a deep mathematical and methodological preparation through the first-year. The second-year courses provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. The third and forth years are entirely devoted to research. Both theoretical and applied research, including methods for Machine Learning and Data Science, are supported and pursued. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are encouraged.
Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Economics, Engineering, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold or be on their way to hold a graduate degree or equivalent.
For more information about the PhD program in Statistics at Bocconi, visit www.unibocconi.eu/phdstatistics and feel free to contact:
Antonio Lijoi (antonio.lijoi@unibocconi.it)
✔️ @ApplyTime
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
Applications are due by February 1, 2019.
Within the Bocconi PhD School, the four-year PhD program in Statistics provides a solid grounding for high level research in Statistics, Probability and Data Science.
The curriculum is organized over two years of courses and two years entirely devoted to research. Students gain a deep mathematical and methodological preparation through the first-year. The second-year courses provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. The third and forth years are entirely devoted to research. Both theoretical and applied research, including methods for Machine Learning and Data Science, are supported and pursued. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are encouraged.
Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Economics, Engineering, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold or be on their way to hold a graduate degree or equivalent.
For more information about the PhD program in Statistics at Bocconi, visit www.unibocconi.eu/phdstatistics and feel free to contact:
Antonio Lijoi (antonio.lijoi@unibocconi.it)
✔️ @ApplyTime
CIHR Postdoctoral Fellowship - Machine Learning, Health Research, Canada
CIHR’s Health Research Training Strategy aims to equip research trainees so that they emerge from their training as scientific, professional, or organizational leaders within and beyond the health research enterprise. Generating Research Leaders of tomorrow is a key objective for CIHR.
Fellowships provide support for highly qualified applicants in all areas of health research at the post-PhD degree or post-health professional degree stages to add to their experience by engaging in health research either in Canada or abroad.
Funds Available
CIHR and partner(s) financial contributions for this initiative are subject to availability of funds. Should CIHR or partner(s) funding levels not be available or are decreased due to unforeseen circumstances, CIHR and partner(s) reserve the right to reduce, defer or suspend financial contributions to awards received as a result of this funding opportunity.
The awards consist of a stipend and a research allowance and are valued in Canadian dollars. It is anticipated that approximately $21 million over five years will be available through this competition.
The maximum amount awarded for a single award is up to $60,000 per annum for up to 5 years. The value and duration of each award is determined by the degree(s) held, licensure (where applicable), location of tenure and experience of the applicant.
Stipend
The annual stipend level for:
Trainees with a PhD degree is $40,000 per annum.
Health Professionals who hold licensure (full or educational) in Canada and have less than 2 years of research or clinical training experience is $40,000 per annum. Upon completion of two years of postgraduate research training, the awardee may be eligible to receive a stipend increase to the higher level.
Health Professionals who hold licensure (full or educational) in Canada and have two or more years of research or clinical training experience is $50,000 per annum.
Health professionals who do not hold licensure in Canada is $21,000 per annum. Upon completion of two years of postgraduate research training, the stipend may increase to $40,000 per annum.
For awards physically held outside Canada, $5,000 is added to the annual stipend.
Research allowance: $5,000 per annum.
More Info
✔️ @ApplyTime
CIHR’s Health Research Training Strategy aims to equip research trainees so that they emerge from their training as scientific, professional, or organizational leaders within and beyond the health research enterprise. Generating Research Leaders of tomorrow is a key objective for CIHR.
Fellowships provide support for highly qualified applicants in all areas of health research at the post-PhD degree or post-health professional degree stages to add to their experience by engaging in health research either in Canada or abroad.
Funds Available
CIHR and partner(s) financial contributions for this initiative are subject to availability of funds. Should CIHR or partner(s) funding levels not be available or are decreased due to unforeseen circumstances, CIHR and partner(s) reserve the right to reduce, defer or suspend financial contributions to awards received as a result of this funding opportunity.
The awards consist of a stipend and a research allowance and are valued in Canadian dollars. It is anticipated that approximately $21 million over five years will be available through this competition.
The maximum amount awarded for a single award is up to $60,000 per annum for up to 5 years. The value and duration of each award is determined by the degree(s) held, licensure (where applicable), location of tenure and experience of the applicant.
Stipend
The annual stipend level for:
Trainees with a PhD degree is $40,000 per annum.
Health Professionals who hold licensure (full or educational) in Canada and have less than 2 years of research or clinical training experience is $40,000 per annum. Upon completion of two years of postgraduate research training, the awardee may be eligible to receive a stipend increase to the higher level.
Health Professionals who hold licensure (full or educational) in Canada and have two or more years of research or clinical training experience is $50,000 per annum.
Health professionals who do not hold licensure in Canada is $21,000 per annum. Upon completion of two years of postgraduate research training, the stipend may increase to $40,000 per annum.
For awards physically held outside Canada, $5,000 is added to the annual stipend.
Research allowance: $5,000 per annum.
More Info
✔️ @ApplyTime
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Funded 4-year Athena SWAN PhD Scholarship, Intersectional Analysis of Gender Equality in Higher Education
Institutions, Maynooth University
✔️ @ApplyTime
Institutions, Maynooth University
✔️ @ApplyTime
PhD position: Bottom-up engineering of synthetic cells, Germany: Max Planck Institute
At the Max Planck Institute for Medical Research, one of the 83 institutes of the Max Planck Society for the Advancement of Science, physicists, chemists and biologists create knowledge of long-term relevance to life and basic medical sciences.
In the Department of Cellular Biophysics we are looking for a highly motivated and enthusiastic individual to join our lab at the Max Planck Institute for Medical Research, for a PhD position. The concerted effort in our lab is directed towards developing of highly innovative and creative approaches in bottom-up synthetic biology. The successful candidate will develop novel approaches for bottom-up reconstitution of dynamic actomyosin and microtubule cytoskeletal networks within the synthetic cells.
Candidates should have a Master’s or equivalent degree in Biophysics, Biochemistry, Molecular Cell Biology, Chemistry, or related fields. An experimental background in biophysics and microfluidics is preferable. Excellent verbal and written communication skills in English are required.
The payment is based on the TVöD guidelines (“Promotionsfördervertrag”). The PhD position is limited to three years with a possibility of extension.
More Info
✔️ @ApplyTime
At the Max Planck Institute for Medical Research, one of the 83 institutes of the Max Planck Society for the Advancement of Science, physicists, chemists and biologists create knowledge of long-term relevance to life and basic medical sciences.
In the Department of Cellular Biophysics we are looking for a highly motivated and enthusiastic individual to join our lab at the Max Planck Institute for Medical Research, for a PhD position. The concerted effort in our lab is directed towards developing of highly innovative and creative approaches in bottom-up synthetic biology. The successful candidate will develop novel approaches for bottom-up reconstitution of dynamic actomyosin and microtubule cytoskeletal networks within the synthetic cells.
Candidates should have a Master’s or equivalent degree in Biophysics, Biochemistry, Molecular Cell Biology, Chemistry, or related fields. An experimental background in biophysics and microfluidics is preferable. Excellent verbal and written communication skills in English are required.
The payment is based on the TVöD guidelines (“Promotionsfördervertrag”). The PhD position is limited to three years with a possibility of extension.
More Info
✔️ @ApplyTime