#Postdoc Research Fellow Position in Digital Phenotyping / Smartphone Data Research

Harvard T.H. Chan School of Public Health

https://academicpositions.harvard.edu/postings/13728

NYUAD hiring open-rank Computational Social Science faculty position. Anyone still on the market and interested, please apply. We start reviewing applications next week.

Application: https://apply.interfolio.com/160603

#postdoc position "from all areas of research that advance the state of the art in data science and the health sciences, extending the reach of data-driven research into novel medical application domains"

https://academicjobsonline.org/ajo/jobs/29529

On the foundations of statistical mechanics
https://arxiv.org/abs/2411.08709

Two fully funded #PhD students and two Machines (SOHAM) at Trinity College Dublin

https://tahayasseri.com/join/

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

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.

#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

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

#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/