#PhD students at Berkeley:
if you are interested in ML applied to health, inequality, or social science, and mention Emma Pierson in your app.
More details on work/how to apply: https://cs.cornell.edu/~emmapierson/
if you are interested in ML applied to health, inequality, or social science, and mention Emma Pierson in your app.
More details on work/how to apply: https://cs.cornell.edu/~emmapierson/
#Postdoc Position: Multimodal Signalling in Face-to-Face Communication at the Donders Centre for Cognition
https://www.ru.nl/en/working-at/job-opportunities/postdoc-position-multimodal-signalling-in-face-to-face-communication-at-the-donders-centre-for-cognition
https://www.ru.nl/en/working-at/job-opportunities/postdoc-position-multimodal-signalling-in-face-to-face-communication-at-the-donders-centre-for-cognition
www.ru.nl
Job opportunities | Radboud University
Come work at Radboud University. Take a look at our scientific and non-scientific vacancies.
Audio
Fast unfolding of communities in large networks: 15 years later
The Louvain method was proposed 15 years ago as a heuristic method for the fast detection of communities in large networks. During this period, it has emerged as one of the most popular methods for community detection: the task of partitioning vertices of a network into dense groups, usually called communities or clusters. Here, after a short introduction to the method, we give an overview of the different generalizations, modifications and improvements that have been proposed in the literature, and also survey the quality functions, beyond modularity, for which it has been implemented. Finally, we conclude with a discussion on the limitations of the method and perspectives for future research.
https://iopscience.iop.org/article/10.1088/1742-5468/ad6139
The Louvain method was proposed 15 years ago as a heuristic method for the fast detection of communities in large networks. During this period, it has emerged as one of the most popular methods for community detection: the task of partitioning vertices of a network into dense groups, usually called communities or clusters. Here, after a short introduction to the method, we give an overview of the different generalizations, modifications and improvements that have been proposed in the literature, and also survey the quality functions, beyond modularity, for which it has been implemented. Finally, we conclude with a discussion on the limitations of the method and perspectives for future research.
https://iopscience.iop.org/article/10.1088/1742-5468/ad6139
#PhD position in Digital Chemistry
project on combining traditional expert features with deep learning for reaction prediction.
https://www.jobs.ethz.ch/job/view/JOPG_ethz_4etBDEk8lO4Z8W71Q8
project on combining traditional expert features with deep learning for reaction prediction.
https://www.jobs.ethz.ch/job/view/JOPG_ethz_4etBDEk8lO4Z8W71Q8
www.jobs.ethz.ch
Stellenangebote der ETH Zürich
Where postdoctoral journeys lead?
https://arxiv.org/abs/2411.03938
The prestige of a PhD-granting institution is well known for influencing faculty hiring and career progression in American academia. But what about the postdoc stage—what impact does it have on shaping academic careers globally?
Based on the data*, high-impact publications and mobility with a little twist over the research topic during the postdoc are key to enhancing your academic career. Surprisingly, the prestige of the institution you move to is less influential than expected. So, regardless of your success in PhD, your odds improve by making moderate shifts in research focus and location with significant shifts in publication quality.
*: The authors used a comprehensive dataset by combining publication records from the Microsoft Academic Graph (MAG) with career data from a major online professional network. Spanning 25 years and encompassing 45,572 careers from various disciplines, the dataset specifically examines the influence of postdoctoral experiences on early academic success—considering factors like relocation, topic change, and early high-impact publications.
https://arxiv.org/abs/2411.03938
The prestige of a PhD-granting institution is well known for influencing faculty hiring and career progression in American academia. But what about the postdoc stage—what impact does it have on shaping academic careers globally?
Based on the data*, high-impact publications and mobility with a little twist over the research topic during the postdoc are key to enhancing your academic career. Surprisingly, the prestige of the institution you move to is less influential than expected. So, regardless of your success in PhD, your odds improve by making moderate shifts in research focus and location with significant shifts in publication quality.
*: The authors used a comprehensive dataset by combining publication records from the Microsoft Academic Graph (MAG) with career data from a major online professional network. Spanning 25 years and encompassing 45,572 careers from various disciplines, the dataset specifically examines the influence of postdoctoral experiences on early academic success—considering factors like relocation, topic change, and early high-impact publications.
arXiv.org
Where postdoctoral journeys lead
Postdoctoral training is a career stage often described as a demanding and anxiety-laden time when many promising PhDs see their academic dreams slip away due to circumstances beyond their...
Science Writing Fellow, Quanta Magazine
Quanta Magazine is looking for an early-career science journalist for its spring 2025 writing fellowship. This six-month program will give the successful applicant extensive experience writing news and features about one or more areas that Quanta covers: physics, mathematics, biology and computer science.
https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/Science-Writing-Fellow_R0001723
Quanta Magazine is looking for an early-career science journalist for its spring 2025 writing fellowship. This six-month program will give the successful applicant extensive experience writing news and features about one or more areas that Quanta covers: physics, mathematics, biology and computer science.
https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/Science-Writing-Fellow_R0001723
Myworkdayjobs
Science Writing Fellow, Quanta Magazine
POSITION SUMMARY Quanta Magazine is looking for an early-career science journalist for its spring 2025 writing fellowship. This six-month program will give the successful applicant extensive experience writing news and features about one or more areas that…
On the foundations of statistical mechanics
https://arxiv.org/abs/2411.08709
https://arxiv.org/abs/2411.08709
arXiv.org
On the foundations of statistical mechanics
Although not as wide, and popular, as that of quantum mechanics, the investigation of fundamental aspects of statistical mechanics constitutes an important research field in the building of modern...
The Department of Statistics and Data Science at Carnegie Mellon University invites applicants for a two-year #postdoc fellowship in simulation-based inference. The fellow will work with Prof. Cosma Shalizi of the department on developing theory, algorithms and applications of random feature methods in simulation-based inference, with a particular emphasis on social-scientific problems connected to the work of CMU's Institute for Complex Social Dynamics. Apart from by the supervisor, the fellow will also be mentored by other faculty in the department and the ICSD, depending on their interests and secondary projects, and will get individualized training in both technical and non-technical professional skills.
Successful applicants will have completed a Ph.D. in Statistics, or a related quantitative discipline, by September 2025, and ideally have a strong background in non-convex and stochastic optimization and/or Monte Carlo methods, and good programming and communication skills. Prior familiarity with simulation-based inference, social network models and agent-based modeling will be helpful, but not necessary.
https://apply.interfolio.com/159056
Successful applicants will have completed a Ph.D. in Statistics, or a related quantitative discipline, by September 2025, and ideally have a strong background in non-convex and stochastic optimization and/or Monte Carlo methods, and good programming and communication skills. Prior familiarity with simulation-based inference, social network models and agent-based modeling will be helpful, but not necessary.
https://apply.interfolio.com/159056
The Department of Statistics and Data Science and the Institute for Complex Social Dynamics at Carnegie Mellon University invite applicants for a two-year #postdoc fellowship in social network dynamics. The fellow will work with Prof. Nynke Niezink of the department on developing theory, statistical methodology and applications of models for longitudinal network data, with a particular emphasis on social-scientific problems connected to the work of the Institute. Apart from by the supervisor, the fellow will also be mentored by other faculty in the department and the ICSD, depending on their interests and secondary projects, and will get individualized training in both technical and non-technical professional skills.
https://apply.interfolio.com/159058
https://apply.interfolio.com/159058
Forwarded from حامد سیدعلائی
در جستجوی شادی!
یک بازی درست کردم، باید در میان چهرههای غیر شاد، چهره خندان را پیدا کنید.
اول باید عضو گروه زیر بشوید:
https://groups.google.com/g/happyfacetime/
و بازی را از این لینک نسب کنید:
https://play.google.com/apps/testing/com.HappyFaceTime
و من را در جریان نظرتان بگذارید.
یک بازی درست کردم، باید در میان چهرههای غیر شاد، چهره خندان را پیدا کنید.
اول باید عضو گروه زیر بشوید:
https://groups.google.com/g/happyfacetime/
و بازی را از این لینک نسب کنید:
https://play.google.com/apps/testing/com.HappyFaceTime
و من را در جریان نظرتان بگذارید.
Forwarded from انجمن علمی فیزیک بهشتی (SBU)
🔸سمینار هفتگی دانشکده فیزیک دانشگاه شهید بهشتی
🔹جایزه نوبل ۲۰۲۴
فیزیک یا غیر فیزیک؟
👨🏻💻 سامان مقیمی عراقی
دانشگاه صنعتی شریف
📆زمان و مکان: شنبه، ۳ آذر ۱۴۰۳، ساعت ۱۵:۱۵ تالار ابن هیثم دانشکده فیزیک
__
@sbu_physics
🔹جایزه نوبل ۲۰۲۴
فیزیک یا غیر فیزیک؟
👨🏻💻 سامان مقیمی عراقی
دانشگاه صنعتی شریف
📆زمان و مکان: شنبه، ۳ آذر ۱۴۰۳، ساعت ۱۵:۱۵ تالار ابن هیثم دانشکده فیزیک
__
@sbu_physics
Zoom talk in the NetSci colloquium seriers
https://bsky.app/profile/netscisociety.bsky.social/post/3ladqlbpvpp2z
https://bsky.app/profile/netscisociety.bsky.social/post/3ladqlbpvpp2z
Bluesky Social
Network Science Society (@netscisociety.bsky.social)
Get ready for the next NetSci colloquium featuring @pholme.bsky.social!
Register here: https://iu.zoom.us/webinar/register/WN_02hY7XPrReyAr52wGHmb6w
Register here: https://iu.zoom.us/webinar/register/WN_02hY7XPrReyAr52wGHmb6w
Forwarded from Sitpor.org سیتپـــــور
پیشنهادهایی برای دانشجویان تحصیلات تکمیلی
بهویژه برای سیستمهای پیچیده و علم شبکه
تجربه من از دوران کارشناسی ارشد سیستمهای پیچیده در دانشگاه شهید بهشتی و دکتری علوم کامپیوتر در دانشگاه آلتو چیزهای مختلفی بهم یاد داد. شاید بعضی از این تجربهها به کار شما هم بیاد اگر که به تازگی دوران کارشناسی ارشد یا دکتری خودتون رو در زمینه سیستمهای پیچیده شروع کرده باشید.
🔗 sitpor.org/2019/09/complex-gradschool
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری د
بهویژه برای سیستمهای پیچیده و علم شبکه
تجربه من از دوران کارشناسی ارشد سیستمهای پیچیده در دانشگاه شهید بهشتی و دکتری علوم کامپیوتر در دانشگاه آلتو چیزهای مختلفی بهم یاد داد. شاید بعضی از این تجربهها به کار شما هم بیاد اگر که به تازگی دوران کارشناسی ارشد یا دکتری خودتون رو در زمینه سیستمهای پیچیده شروع کرده باشید.
🔗 sitpor.org/2019/09/complex-gradschool
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری د
سیتپـــــور
پیشنهادهایی برای دانشجویان تحصیلات تکمیلی، بهویژه برای سیستمهای پیچیده - سیتپـــــور
تجربه من از دوران کارشناسی ارشد سیستمهای پیچیده در دانشگاه شهید بهشتی و دکتری علوم کامپیوتر در دانشگاه آلتو چیزهای مختلفی بهم یاد داد. شاید…
The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.
9th edition
May 12-16, 2025
Villa del Grumello,
Como, Italy
https://ntmi.lakecomoschool.org/
9th edition
May 12-16, 2025
Villa del Grumello,
Como, Italy
https://ntmi.lakecomoschool.org/
Complex Networks: Theory, Methods, And Applications (9th Edition)
Homepage - Complex Networks: Theory, Methods, And Applications (9th Edition)
Complex Networks Theory, Methods, and Applications 9th edition May 12-16, 2025 Villa del Grumello, Como, Italy Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger…
Spring College on the
Physics of Complex Systems
Deadline: 10 December 2024
https://indico.ictp.it/event/10821
Physics of Complex Systems
Deadline: 10 December 2024
https://indico.ictp.it/event/10821
"𝘕𝘦𝘵𝘸𝘰𝘳𝘬𝘴 𝘪𝘯 𝘛𝘪𝘮𝘦 𝘢𝘯𝘥 𝘚𝘱𝘢𝘤𝘦"
Professor Jari Saramäki studies the dynamics of complex systems through temporal networks. His research combines theory and data to examine dynamic phenomena from social interaction patterns to the spread of information and diseases.
https://netsci2025.github.io/
Professor Jari Saramäki studies the dynamics of complex systems through temporal networks. His research combines theory and data to examine dynamic phenomena from social interaction patterns to the spread of information and diseases.
https://netsci2025.github.io/
Generating surrogate temporal networks from mesoscale building blocks
Giulia Cencetti, CNRS
https://socialdatascience.network/fall2024/sess3.html
Giulia Cencetti, CNRS
https://socialdatascience.network/fall2024/sess3.html
socialdatascience.network
CIVICA Data Science Seminar Series
Session 3 Fall 2024: Generating surrogate temporal networks from mesoscale building blocks
Audio
Homophily Within and Across Groups
If you are looking for a network model that distinguishes between [local] homophily within small groups and [global] homophily across larger, more diverse communities, you shall not miss our new pre-print:
https://arxiv.org/abs/2412.07901
If you are looking for a network model that distinguishes between [local] homophily within small groups and [global] homophily across larger, more diverse communities, you shall not miss our new pre-print:
https://arxiv.org/abs/2412.07901