38 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BI" Fellowship positions in Germany
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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 8 hours ago
Job Offer from October 01, 2026 First Research Article Fellowship Program at the Max Planck Institute for the History of Science, Berlin 01 September 2027 – 28 February 2028 The Max Planck
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(100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying
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available in the further tabs (e.g. “Application requirements”). Programme Description Copernicus Hamburg awards fellowships to Eastern and Central European, North African and Central Asian students every
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available in the further tabs (e.g. “Application requirements”). Objective 'DLR-DAAD Research Fellowships' is a programme implemented by the 'German Aerospace Center' (DLR) and the 'German Academic Exchange
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
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Cybernetics (https://www.kyb.tuebingen.mpg.de/en ) is a world-renowned research hub for computational modeling and cognitive neuroscience. This unique research environment provides the postdoctoral researcher
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available in the further tabs (e.g. “Application requirements”). Programme Description The international Leo Baeck Fellowship Programme awards grants to doctoral students who carry out research
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PROGRAMME AT THE KÄTE HAMBURGER CENTRE Questions about reparation and irreparability are at the heart of KHK CURE’s research programme, taken up by fellows and members of the CURE team from a range of
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outstanding international postdoctoral researchers to Heilbronn's rapidly growing AI ecosystem. The programme supports cutting-edge AI research at institutions on the Bildungscampus Heilbronn and across
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation