↳A Master's degree in computer science, data science, biomedical engineering, computational linguistics, statistics, or closely related field
↳Strong foundation in machine learning and hands-on experience with deep learning; experience with transformers, LLMs, or retrieval systems is highly desirable
↳Proficiency in Python and a modern deep-learning frameworks such as PyTorch
↳Experience with cluster environments (e.g., SLURM)
↳An interest in methodological research as well as careful, clinically grounded validation
↳Ability to communicate clearly and collaborate across technical and clinical disciplines
↳Strong communication skills in English, Knowledge of German is an advantage