13 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:" scholarships at Technical University of Munich
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translation. We offer: Participation in a highly ambitious, internationally visible research program. Access to state-of-the-art imaging, photonics, electronics, and biomedical research infrastructure. Close
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be released as open-source software and reusable research artifacts. Your tasks: You will contribute to the clinical-informatics and AI workstream of SEQUORA: Co-design and implement the clinical
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a doctorate in artificial intelligence, medical informatics, and precision oncology? Then join the xMDT-HPB project at the Institute for AI and Informatics in Medicine (AIIM), a pioneering research
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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validation and regulatory translation. We offer: Participation in a highly ambitious, internationally visible research program. Access to state-of-the-art imaging, photonics, electronics, and biomedical
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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servers, additional H100 and H200 GPU servers, and large-scale storage. Compute capacity is continuously expanded to avoid bottlenecks. The position includes conference travel, collaboration with leading
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(TV-L E13) for three years at TUM University Hospital. ---- Application is closed due to high number of applicants ---- The Institute for AI and Informatics in Medicine at TUM University Hospital is
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questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG. The project’s overarching goal is the