211 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Germany
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI for de Novo Protein Design. Your tasks # Design of
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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https://jobs.dkfz.de/en/jobs/168327/postdoc-bioinformatics-computational-biolog… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168327/postdoc
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep
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Website https://jobs.dkfz.de/en/jobs/168309/postdoctoral-researcher-in-sex-biased-cance… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168309
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following through the online application system - https://www.leibniz-inm.de/en/job-offers-2/ Motivation letter CV (max 2 pages) Publication list Academic transcripts Contact details of 2-3 references
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The Bernhard Nocht Institute for Tropical Medicine (BNITM, https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany with approximately 420 employees. It is the
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radiation beamline hands-on experience in X?ray microscopy techniques, X?ray diffraction or X?ray fluorescence working knowledge of image processing e.g. using machine learning German skills For further
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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-body physics nonequilibrium quantum dynamics, to quantum computation, quantum information, and machine learning. The Institute provides a stimulating environment due to an active in-house workshop