Complex Systems Studies
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Spin Glass Concepts in Computer Science, Statistics, and Learning

Spin glass theory studies the structure of sublevel sets and minima (or near-minima) of certain classes of random functions in high dimension. Near-minima of random functions also play an important role in high-dimensional statistics and statistical learning, where minimizing the empirical risk (which is a random function of the model parameters) is the method of choice for learning a statistical model from noisy data. Finally, near-minima of random functions are obviously central to average-case analysis of optimization algorithms. Computer science, statistics, and machine learning naturally lead to questions that are traditionally not addressed within physics and mathematical physics. I will try to explain how ideas from spin glass theory have seeded recent developments in these fields.

https://arxiv.org/abs/2602.23326
3rd European Summer Program in Infectious Disease Analysis and Modelling (ESPIDAM)

Time: June 22-26, 2026
Location: Stockholm University, Sweden
Registration: Is now open. Early bird registration to March 31. Registration closes May 31.
Suitable participants: PhD students, PostDocs, Public Health scientists and others interested
Structure: The summer program consists of 8 course modules, 4 the first half week and 4 the second half week. Participants can register to one or two modules.
More information: www.su.se/math/espidam
Stochastic_processes_and_statistical_methods_in_mathematical_biology.pdf
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#PhD student in Mathematical Statistics

https://su.varbi.com/en/what:job/jobID:911059/type:job/where:4/apply:1

The Department of Mathematics of Stockholm University is hiring a PhD student to work on stochastic processes and/or statistical methods in mathematical biology