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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
Your profile # Completed PhD in chemistry, geology, physics or related areas # Experience in sample preparation of cosmogenic radionuclides for accelerator mass spectrometry # Proven knowledge in
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27.10.2025 Application deadline: 30.11.2025 Are you excited about the possibility to explore ethical, philosophical, legal, epistemic or social implications of using machine learning in different
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Prevention (CBI)—a joint initiative designed to drive innovation in healthcare research between Germany and the Netherlands. The position is based primarily at UMCG in Groningen, with regular presence in
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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11.04.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of
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in Canada, USA, Sweden and the Netherlands. At the University of Hamburg the PostDoc will work in a team consisting of senior scientists, PostDocs, as well as a PhD student and technician hired through
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
the University Medical Center Groningen (UMCG) in the Netherlands. This position is based in the Translational Psychology Group, a Heisenberg Professorship funded by the German Research Foundation (DFG) and led by
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative