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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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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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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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, 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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positions for doctoral researchers in the field of reliable artificial intelligence. The background applicants come from can be very diverse. To earn the relAI certificate, PhDs need to earn credits in
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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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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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processing, preferably with regard to image processing using artificial intelligence, is required Experience with scoring of plant disease symptoms is a plus but not a requisite Equal opportunities and
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functionalized quantum dots and single-molecule fluorescence microscopy Develop novel microfluidic techniques for molecular separation using artificial intelligence Collaborate closely with international research
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application-inspired. To strengthen the Department Data Science in Bioeconomy, we are offering the following positions Two Postdoc Positions (100 %) in the Field of Artificial Intelligence. Together we develop