#PhD Research Fellow in Computational Biology and Systems

You will be developing regulatory network-based approaches to predict patient-specific drug response in hematological cancers

https://www.jobbnorge.no/en/available-jobs/job/253972/phd-research-fellow-in-computational-biology-and-systems

Early in your #network_science career? Level up at the Lake Como School in Como, Italy!
https://ntmh.lakecomoschool.org

The Lake Como school “Complex Networks: Theory, Methods, and Applications”
May 27-31, 2024
Villa del Grumello, Como, Italy

#postdoc and #phd positions available in Marseille

If you are interested in building models of brain computations and developing data analysis tools with cool experimental collaborators, please apply!

More info:
bit.ly/3MRGiVu

#PhD thesis in Statistical Physics of Active Matter
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.


https://recruitment.uni.lu/en/details.html?nPostingId=86937&nPostingTargetId=126462

#PhD student in Complex Systems and Data Science for Fall 2024 to work with me at UVM. I am looking for students interested in data ethics and computational social science.

https://www.uvm.edu/socks/node/67?job_id=8

Percolation and the pandemic

https://www.sciencedirect.com/science/article/pii/S0378437120310219

Matrix Calculus For Machine Learning And Beyond

This class covers a coherent approach to matrix calculus showing techniques that allow you to think of a matrix holistically (not just as an array of scalars), generalize and compute derivatives of important matrix factorizations and many other complicated-looking operations, and understand how differentiation formulas must be reimagined in large-scale computing.

https://ocw.mit.edu/courses/18-s096-matrix-calculus-for-machine-learning-and-beyond-january-iap-2023/

APPLY NOW TO OUR MASTER’S PROGRAMME IN LIFE SCIENCE TECHNOLOGIES!

https://jarisaramaki.fi/2023/12/13/apply-now-to-our-masters-programme-in-life-science-technologies/

Doctoral Researcher in analyzing nature visit typologies using big data

#phd https://jobs.helsinki.fi/job/Helsinki-Doctoral-Researcher-in-analyzing-nature-visit-typologies-using-big-data/784269202/?

We are looking for a #postdoc researcher to work on an innovative approach for user-centric partitioning of complex networks (telecom networks, energy networks, social networks, etc.).

The required skills are in optimization (mathematical programming, meta/mat-heuristics), algorithms, and analysis of complex networks.

Cécile Bothorel

#phd Networks and graphs - both static and dynamic

https://www.kuleuven.be/personeel/jobsite/jobs/60288125

Applications for the “ENS Junior Research Laplace chair” are open. data-ens.github.io/jobs/
We are looking for outstanding candidates in data sciences. The selected candidate will work as an independent #postdoc at the center for data sciences of Ecole Normale Supérieure (Paris)

#Postdoc Positions at the Center for Network Dynamics, Northwestern University

https://cnd.northwestern.edu/openings/

#phd & #postdoc
uvm.edu/socks/#jobs

Critical phenomena in complex networks: from scale-free to random networks

Within the conventional statistical physics framework, we study critical phenomena in configuration network models with hidden variables controlling links between pairs of nodes. We obtain analytical expressions for the average node degree, the expected number of edges in the graph, and the Landau and Helmholtz free energies. We demonstrate that the network’s temperature controls the average node degree in the whole network. We also show that phase transition in an asymptotically sparse network leads to fundamental structural changes in the network topology. Below the critical temperature, the graph is completely disconnected; above the critical temperature, the graph becomes connected, and a giant component appears. Increasing temperature changes the degree distribution from power-degree for lower temperatures to a Poisson-like distribution for high temperatures. Our findings suggest that temperature might be an inalienable property of real networks.

https://link.springer.com/article/10.1140/epjb/s10051-023-00612-0

LAKE COMO SCHOOL OF ADVANCED STUDIES

Spring School "Computational Social Science: Advances, Challenges and Opportunities (1st edition)"

Villa del Grumello, Como, Italy, May 13-17 2024

https://css.lakecomoschool.org/

Does the brain behave like a (complex) network? I. Dynamics
https://www.sciencedirect.com/science/article/pii/S1571064523002105

#job Data Scientist - Computational Social Science Lab

https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/3401-Walnut-Street/Data-Scientist---Computational-Social-Science-Lab_JR00084578