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04.06.2025 Application deadline: 01.07.2025 The chair in Law and Artificial Intelligence at the Faculty of Law at the University of Tübingen, held by Prof. Dr. Michèle Finck currently has one
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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the central hypothesis of these infections causing general stress responses and behavioural changes, which can be assessed on metabolic level or by video observation and artificial intelligence analysis
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the central hypothesis of these infections causing general stress responses and behavioural changes, which can be assessed on metabolic level or by video observation and artificial intelligence analysis
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for practitioners. Your responsibilities include: Science-based research on the disarmament and non-proliferation of chemical weapons, e.g. on applications of artificial intelligence (AI). Monitoring, tracking and
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for complex geochemical systems, including deep sea hydrothermal vent environments of geothermal fluids. This project bridges modern artificial intelligence with geochemical modelling, aiming to deliver
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16.06.2025 Application deadline: 15.07.2025 Our group builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics. To accelerate this effort, we need your
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determination Experience in machine learning or artificial intelligence, for example, pattern recognition or neural networks Experience in analyzing large data sets Previous knowledge of climate or ocean modeling