Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
Explores risk analysis and management methods for civil engineering projects, emphasizing the importance of identifying adverse events and security barriers.
Introduces the basics of risk analysis and management in civil engineering, covering uncertainties, model creation, stability analysis, and probability calculations.
Covers theory and practical applications of protein folding simulations using molecular dynamics, focusing on solvent effects and analysis of folding dynamics.