Machine-Learning Methods for Diagnostics and Prediction in Psychiatry
Academic Research OpportunityA research internship developing predictive machine-learning approaches across neuroimaging, clinical, cognitive, genetic, and environmental data. Per the official LMU Faculty of Medicine research-module catalogue, the project (Klinik für Psychiatrie und Psychotherapie, PI Prof. Nikolaos Koutsouleris, Chair of Precision Psychiatry at LMU Munich) focuses on implementing predictive models that enable personalized management of high-risk individuals, individualized stratification of risk for disease onset, chronicity and poor functional outcomes across psychiatric disorders, and understanding diagnostic boundaries via multivariate subgroup identification; advanced machine-learning methods/tools (e.g., NeuroMiner) are applied to databases of neuroimaging, neurocognitive, genetic, clinical, and environmental data. Internship opportunities: 3-4.