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Complex Systems Studies

Complex Systems Studies

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What's up in Complexity Science?! Check out here: @ComplexSys #complexity #complex_systems #networks #network_science 📨 Contact us: @carimi

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The theory of percolation on hypergraphs, arxiv.org/abs/2305.12297 The node percolation threshold for hypergraphs exceeds the
The theory of percolation on hypergraphs, arxiv.org/abs/2305.12297 The node percolation threshold for hypergraphs exceeds the hyperedge percolation threshold - it's easier to destroy a hypergraph by removing nodes than hyperedges

در تحول امور، از اول کارشناسی تا آخر دکتری تغییر و تحول نگاه یک فیزیک‌خوانده به زندگی علمی از ابتدای دوره لیسانس فیزیک تا آخر
در تحول امور، از اول کارشناسی تا آخر دکتری تغییر و تحول نگاه یک فیزیک‌خوانده به زندگی علمی از ابتدای دوره لیسانس فیزیک تا آخر دکتری 🔗 sitpor.org/2023/05/life-in-academia ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media

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

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

Lipari School on Computational Life Sciences Spreading and Accessing Information July 16th - July 22nd, 2023 https://complex23.liparischool.it/

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.”

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 Javascript/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

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

Information Theory and Large Deviations in the Foundations of Statistics http://bactra.org/notebooks/information-theory-and-statistics.html

Now accepting applications for IceLab Camp. Learn to prepare interdisciplinary research proposals. For early career researche
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/

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

#PhD Candidate in Network Science To apply for this vacancy, please send an email to jobs@liacs.leidenuniv.nl with the subjec
#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”

Department of Linguistics and Scandinavian Studies Associate Professor of Linguistics with a Specialization in Computational Linguistics

#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

#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 transcripts to the names listed below: Angela Bonifati (Angela.Bonifati@univ-lyon1.fr)

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

ArxivGPT is a Google Chrome plug-in that helps you quickly understand the content of arXiv papers. With just a click, it summ
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ArxivGPT is a Google Chrome plug-in that helps you quickly understand the content of arXiv papers. With just a click, it summarizes the paper and provides key insights, saving you time and helping you quickly grasp the main ideas and concepts. Whether you're a researcher, student, or just curious about a particular topic, ArxivGPT makes it easy to stay informed and up-to-date on the latest developments in your field. https://github.com/hunkimForks/chatgpt-arxiv-extension

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