184 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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be considered. For further information please contact Dr. Turhan Hilmi Demiray, Research Director of the Research Center for Energy Networks (Forschungsstelle Energienetze - FEN ) via e-mail (demirayt
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activities (incl. Future Food Initiative, Smart Sustainable Farming Program, Thematic Spotlights etc.). Co-development of new inter- and transdisciplinary research programs and activities either based
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Applicants should have a strong interest in doing basic research in areas such as: Bio-inspired /Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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into sustainable, user-friendly products? Are you eager to shape the future of biomedical informatics in the Zurich area? If this sounds like you, we invite you to join NEXUS Personalized Health, ETH Zurich’s
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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considered. Questions regarding the position should be directed to Prof. Jörg F. Löffler (joerg.loeffler@mat.ethz.ch) or Dr. Robin E. Schäublin (robin.schaeublin@mat.ethz.ch).(no applications). We would like
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of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal