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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 11 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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, as well as cutting-edge computational facilities and expertise at the Max Planck Institute. The successful candidate will have substantial freedom to develop a research program in concert with Profs
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. The successful candidate will have substantial freedom to develop a research program in concert with Profs. Murayama, Sakaki, and Dayan addressing computationally-tractable questions such as continual
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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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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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? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for Humans and Machines (CHM) at the Max Planck Institute for Human Development in
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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