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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 14 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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Event 09.09.2026 Application deadline : 31.10.2026 Postdoctoral Research Fellow in Computational Modeling of Digital Education Data (100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a
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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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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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systems. We are particularly interested in candidates with strong expertise in • Numerical methods such as MPS/DMRG, and/or • Analytical field-theoretical approaches including bosonization. However, we
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, biomolecules, vesicles, and nanoparticles – to engineer colloidal systems and interfaces with targeted functionality and selective molecular recognition. In parallel, we develop advanced characterization
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, computer science, or related fields. The applicant should have a strong interest and prior experience in developing and applying machine learning methods to problems in the life sciences. Experience with