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” research hub and to contribute to taking on a globally visible leading role in the field of artificial intelligence (AI) and education in Tübingen through interdisciplinary collaboration. Possible areas
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data science methods and artificial intelligence for comparison with observational data Synergies with the German Research Center for Artificial Intelligence (DFKI, Marine Perception research department
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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of the consortium “DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models”. This 5-year consortium is funded by the German Federal Ministry of Education and Research (BMBF) under
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for safety-critical applications or those requiring trust in the model. The field of Explainable Artificial Intelligence (XAI) addresses this by providing methods to make model behavior more interpretable
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07.05.2025 Application deadline: 13.06.2025 The University of Tübingen is a leading place for research in artificial intelligence with excellent research infrastructure and the University Hospital
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware