Workshop on Stochastic Thermodynamics

https://indico.ictp.it/event/10171

Kobe University's Center for Computational Social Science is hosting an online symposium on behavioral and computational social science on May 8th (JST).

http://ccss.kobe-u.ac.jp/event/seminar_all/2023/202305081630.html

A comprehensive review of signal propagation in complex networks:
https://doi.org/10.1016/j.physrep.2023.03.005

#PhD

HyGraph: PhD Position on Graph Data Management  at DB Team/LIRIS Lab, Lyon (France).

The Database Team of the LIRIS Lab is opening a fully funded PhD position on graph data management. The position is funded for 3 years under a recent international ANR/DFG (French/German) Project “HyGraph: Querying and Analytics on Hybrid Graphs”.

The overarching goal of the project (PI: Prof. Angela Bonifati) is to design an hybrid data model that seamlessly combines temporal graphs with time series and enables high-frequency updates through graph streams. This combination in a unified hybrid model paves the way to novel unprecedented query, analysis, data mining and machine learning tasks.

To apply, send a CV, a letter of motivation, three recommendation letters together with full Master grade trannoscripts to the names listed below:
Angela Bonifati (Angela.Bonifati@univ-lyon1.fr)

#Postdoc (London, United Kingdom)
Real-time modelling of infectious disease outbreaks

https://iddjobs.org/jobs/2-postdoc-positions-in-real-time-modelling-of-infectious-disease-outbreaks

Department of Linguistics and Scandinavian Studies

Associate Professor of Linguistics with a Specialization in Computational Linguistics

#PhD Candidate in Network Science

To apply for this vacancy, please send an email to jobs@liacs.leidenuniv.nl with the subject “PhD Application
for Vacancy No. 23-340”

Call for Abstracts: Conference on Complex Systems 2023
https://sco.lt/5EWya8

Now accepting applications for IceLab Camp. Learn to prepare interdisciplinary research proposals. For early career researchers from anywhere, not just Sweden. Free to participate in! Apply here:

https://icelab.se/event/icelab-camp-2023/

LPTMS Internship proposals:

Using statistical models to unravel the gene interactions behind developmental robustness

Conformal field theories for statistical models

Self-assembly of irregular micro-particles

#PhD Proposals:

Frustrated self-assembly with multiple particle types

Models and Time Series Analysis for Human Sports Performance

We are seeking a #PhD candidate interested in the study of Spatial Networks, Urban Systems and Transportation. Additional information provided below. Applications are open until May 18th, with possible anticipated start date in October.

https://www.unitn.it/en/ateneo/1956/announcement-of-selection

We are #hiring a #FrontendDeveloper to work on several science-backed applications.
If you
- Enjoy problem solving and have the patience to work with scientists
- Have experience with graphic design applications
- Are proficient in Javanoscript/JQuery, HTML, CSS, Bootstrap
- Have some experience with Git, Python, Flutter, React and are eager to learn more

send your CV to shima@ipm.ir

Mechanisms: Inside or In-Between?

by Issa Kohler-Hausmann (Senior Law and Society Fellow, Spring 2022, Simons Institute)
https://blog.simons.berkeley.edu/2023/05/mechanisms-inside-or-in-between/

This work was made possible by the Simons Institute’s Causality program in the spring of 2022, where I was the Law and Society fellow and had the opportunity to learn and discuss with a collection of brilliant scholars thinking about and working on causality and causal modeling. Special gratitude goes to Robin Dembroff, Maegan Fairchild, and Shamik Dasgupta, who participated in the April 2022 Theoretically Speaking event “Noncausal Dependence and Why It Matters for Causal Reasoning.”

Lipari School on Computational Life Sciences

Spreading and Accessing Information
July 16th - July 22nd, 2023

https://complex23.liparischool.it/

A new frontier for Hopfield networks

Over the past few years there has been a resurgence of interest in Hopfield networks of associative memory. Dmitry Krotov discusses recent theoretical advances and their broader impact in the context of energy-based neural architectures.

https://www.nature.com/articles/s42254-023-00595-y

Neuroscience needs Network Science

The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offering a framework for integrating multiscale data and complexity. Here, we discuss the application of network science in the study of the brain, addressing topics such as network models and metrics, the connectome, and the role of dynamics in neural networks. We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities. We underscore the importance of fostering interdisciplinary opportunities through funding initiatives, workshops, and conferences, as well as supporting students and postdoctoral fellows with interests in both disciplines. By uniting the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way towards a deeper understanding of the brain and its functions.

https://arxiv.org/abs/2305.06160v2