Understanding soft matter systems requires an integrated approach combining experimental imaging, theoretical modeling, and computational analysis. The Mini School runs May 22-24, 2026 and is designed for graduate students, early-career researchers, and professionals in soft matter, biophysics, and materials science.
Microscopy, scattering and imaging methods that probe the structure and dynamics of soft matter, including fluorescence/confocal microscopy, light and X-ray scattering, and multimodal techniques.
Exploring systems composed of self-driven units, collective behaviour, and emergent dynamics across scales.
Computational modeling and data-driven approaches leveraging AI, machine learning, and physical learning frameworks to analyze, simulate, and predict material behaviour.
Watch this page for more information on submitting your application for the Mini School.