2 machine-learning PhD positions at Heidelberg University in Germany

PhD student position in Environmental AMR (f/m/d)

or spatio-temporal analysis, preferably using Bayesian integrated nested Laplace approximation (INLA) Experience applying machine learning methods, e.g. using extreme gradient boosting (XGBoost) and an

PhD Student – Medical Informatics (m/f/d)

is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods