International Summer School 2026

A three-week summer school on scientific approaches to nonstationary time series analysis for biomedical artificial intelligence, emphasizing mathematical modeling, interpretability, and uncertainty quantification. The program combines lectures and hands-on practice using real biomedical case studies. Core topics include modern time-frequency analysis, manifold learning, and statistical quantification. The school is intended to introduce participants to the research cycle from idea to presentation.

Instruction by international academics and clinicians, hands-on practice on real biomedical signals, and training in mathematical modeling, analysis, and interpretability for medical AI.

Designed for PhD, master’s, and advanced undergraduate students; prerequisites listed for math/stat/EE/CS and biomedicine applicants and requirement of Matlab or Python.

Apply via the MathJobs application site (link provided); no letters of recommendation are required and applicants may skip optional reference sections during submission.