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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 9 hours ago
qualified Post-Docs interested in Computational Social Science. This application call is targeted to the broad topic of artificial intelligence, computing, and society. Research Themes and Teams The Network
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to Artificial Intelligence and Justice (m/f/d). The Institute of History and Ethics in Medicine (IHEM) is part of the School of Medicine and Health at the Technical University of Munich. At the Institute
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Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK
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09.02.2026, Academic staff The Laboratory for Ethics of Artificial Intelligence and Neuroscience at the Technical University of Munich (TUM), headed by Prof. Dr. Marcello Ienca, is seeking
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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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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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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Artificial Intelligence (AI) in medicine transparent, trustworthy, and clinically relevant? Join the VIOLET Project: a pioneering research initiative to develop an explainable and interoperable methodological
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integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70