#PhD Position - BeyondTheEdge Project - Graph vs Hypergraph Metrics

https://euraxess.ec.europa.eu/jobs/210198

FOUNDATIONAL PAPERS IN COMPLEXITY SCIENCE

Foundational Papers in Complexity Science maps the development of complex-systems science through eighty-eight revolutionary works originally published between 1922 and 2000. Curated by SFI President David C. Krakauer, each seminal paper is introduced and placed into its historical context, with enduring insights discussed by leading contemporary complexity scientists.

These four volumes are a product of collective intelligence. More than a compilation, Foundational Papers represents large-scale collaboration within the SFI community—brilliant thinkers who have contextualized the work that shaped their own research, resulting in a sparkling demonstration of how complexity shatters the usual scientific divisions and a look back at the path we’ve followed in order to gain a clearer view of what lies ahead.

https://www.foundationalpapersincomplexityscience.org/

Apply by June 5th to IceLab Camp, an international, #multidisciplinary research course to initiate PhD students and postdocs in the process of preparing interdisciplinary research proposals and launching new collaborations. http://icelab.se/camp

Statistical physics of machine learning

https://youtu.be/TLHYwbrhGJc?si=5hvd3VUL7eFALmsp

Crafting Questions & Linking Thoughts:
Jari Saramäki on Network Science Research

🔗 youtu.be/HwdZS6Fy8X8

Join us for an insightful discussion with Jari Saramäki, a renowned expert in network science, where he shares his personal journey into the field. Jari talks about his motivation and research methods as well as how he selects interesting scientific questions. He emphasizes the importance of collaborative partnerships in driving his projects forward and discusses the essence of good scientific inquiry and how he navigates the process from initial curiosity to deep investigation. Additionally, Jari reflects on the importance of working with both seasoned and emerging researchers to cultivate a dynamic academic environment.

Throughout the conversation, Jari provides thoughtful advice for new scientists on how to make their mark in academia and discusses how his approach to research has matured over his career. This interview not only delves into the mechanics of network science but also offers a deeper look at the personal and professional philosophies that guide successful research.

If you are a new researcher or just curious about how science progresses behind the scenes, join us and gain valuable insights into the world of scientific research through the experiences of one of its most passionate practitioners.

🎧 Audio File
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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم

Today, Abbas Rizi will talk about competing effects on herd immunity, with a discussion on science communication in network science!

Details & Zoom link at http://netplace.site

#PhD and #postdoc positions at Complexity Science Hub Vienna

With our new ERC-funded project starting in September at the Complexity Science Hub Vienna, we are now advertising for two PhD students and two postdocs to work with us on collective adaptation and belief dynamics. If appropriate, I would be grateful if you could spread the word to anyone who could be suitable. Deadline is June 15, and positions can start as early as September 2024.

Vienna is a great place to live and the Complexity Science Hub is a vibrant and growing center for interdisciplinary complexity research. It is at the intersection of eight universities and has a large international network: https://csh.ac.at/

More information and applications at:
3-YEAR PhD POSITION - Collective Adaptation: https://csh.jobs.personio.com/job/1562841

3-YEAR PhD POSITION - Belief Networks: https://csh.jobs.personio.com/job/1562895

2-YEAR POSTDOC POSITION - Collective Adaptation: https://csh.jobs.personio.com/job/1562875

2-YEAR POSTDOC POSITION - Belief Networks: https://csh.jobs.personio.com/job/1562929

How do our social patterns shape virus competition? Pourya Toranj will reveal surprising findings in our next #NetworkInequality lecture.

May 23, 11am CEST
Register to all talks: bit.ly/LSNI-2024
Info: networkinequality.com/lecture-series

I'm developing a new conversational AI platform where you can interact with multiple large language models (like GPT, Claude, etc.) in a single conversation under one subscription. I’m Hamed, a data scientist based in Berlin, Germany, with a passion for innovation, driven to streamline how we interact with AI technologies. I'd love your input to help make this product outstanding.
Thank you!

https://drsfvq3z2zm.typeform.com/to/zp1Dswn8

lectures about asymptotics and perturbation methods

https://www.youtube.com/playlist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI

The Incomplete Guide to the Art of Discovery

Cornell emeritus professor Jack Oliver draws on his nearly 50 years as a scientist to explore the strategies, tactics, and personal traits and attitudes necessary for fruitful scientific discovery.

#PhD TA position in algorithms for complex networks at Eindhoven University of Technology. The position is for 5 years with 25% in teaching. Application dead-line June 16.

https://jobs.tue.nl/en/vacancy/phd-ta-on-algorithms-for-complex-networks-1079006.html

The Future of Scientific Computing: A Global Perspective

Leading scientists, policymakers, and industry experts from around the world will gather at ICTP's International Symposium to discuss the opportunities offered by scientific computing in tackling key scientific challenges, with a global perspective. The symposium will explore how artificial intelligence, high-performance computing and recent advancements in quantum computing will impact the scientific discovery process across scientific fields, including climate science, molecular chemistry, and materials science. Reflecting ICTP's core mission, the symposium will emphasize a global and inclusive approach that can address the needs of scientific communities working in the world's less developed regions. The symposium is part of ICTP's 60th anniversary celebrations taking place throughout 2024, culminating in a high-level event in November 2024. Outcomes of the symposium will be presented and discussed during a panel session at this November event.
https://youtu.be/0Uqnh-_MRB8

A First Course in Monte Carlo Methods

https://arxiv.org/abs/2405.16359

This is a concise mathematical introduction to Monte Carlo methods, a rich family of algorithms with far-reaching applications in science and engineering. Monte Carlo methods are an exciting subject for mathematical statisticians and computational and applied mathematicians: the design and analysis of modern algorithms are rooted in a broad mathematical toolbox that includes ergodic theory of Markov chains, Hamiltonian dynamical systems, transport maps, stochastic differential equations, information theory, optimization, Riemannian geometry, and gradient flows, among many others. These lecture notes celebrate the breadth of mathematical ideas that have led to tangible advancements in Monte Carlo methods and their applications. To accommodate a diverse audience, the level of mathematical rigor varies from chapter to chapter, giving only an intuitive treatment to the most technically demanding subjects. The aim is not to be comprehensive or encyclopedic, but rather to illustrate some key principles in the design and analysis of Monte Carlo methods through a carefully-crafted choice of topics that emphasizes timeless over timely ideas. Algorithms are presented in a way that is conducive to conceptual understanding and mathematical analysis -- clarity and intuition are favored over state-of-the-art implementations that are harder to comprehend or rely on ad-hoc heuristics. To help readers navigate the expansive landscape of Monte Carlo methods, each algorithm is accompanied by a summary of its pros and cons, and by a discussion of the type of problems for which they are most useful. The presentation is self-contained, and therefore adequate for self-guided learning or as a teaching resource. Each chapter contains a section with bibliographic remarks that will be useful for those interested in conducting research on Monte Carlo methods and their applications.

#postdoc in the Department of Biostatistics at Harvard! This position involves developing statistical methods, data analytic tools, and mathematical models for analyzing smartphone data collected in biomedical research cohorts.

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

Matteo Marsili: Beyond pairwise models in statistical inference
https://youtu.be/tBC-Q7fDRJk

ising

#PHD POSITION ON MATHEMATICAL STATISTICS AND MACHINE LEARNING THEORY

https://utwentecareers.nl/en/vacancies/1822/phd-position-on-mathematical-statistics-and-machine-learning-theory/

Second Chance: Unorthodox but Personally Effective Explanations in Probability and Physics

Blake C. Stacey

https://www.sunclipse.org/wp-content/downloads/2024/06/statphys-book-incomplete.pdf

This is a book about heat and unpredictability. I am writing it during a pandemic, while humanity goes about destroying the Earth’s climate and our democratic institutions, flawed to begin with, verge upon splintering. I began this project during the first COVID spring because I was teaching statistical physics to graduate students and wanted to provide as much for them as I could. I continue it because teaching science feels at least a little important and, unlike so many important things, may not be entirely beyond my capabilities.