4 deep-learning scholarships at Heidelberg University in Germany

Doctoral candidate (PhD) – Computational Biomedicine / Machine Learning / Spatial Omics (m/f/d)

Doctoral candidate (PhD) – Computational Biomedicine / Machine Learning / Spatial Omics (m/f/d) Stellenanzeige merken Stellenanzeige teilen starting 01.09.2024 at the Institute for Computational

PhD Student - Lung Omics (m/f/d)

bioinformatics/computational biology or related fields. MD students with a deep interest in bioinformatics and microbiome science are also welcome Proficiency in R programming is mandatory, and proficiency in

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