For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and methodological foundations of medical deep learning. The project focuses on novel self-supervised objectives, information geometry, mitigating representation bias for rare pathological findings, and building next-generation multimodal foundation architectures. Full-time, TV-L E13, 100%, fixed-term for 3+ years.
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