466 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions in Switzerland
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-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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40%-100%, Zurich, fixed-term The Chair of Energy Systems Analysis (ESA), within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich, is looking for a Scientific Assistant to
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We seek a highly motivated PhD student for a multidisciplinary project across two groups: (i) The Surface Earth Evolution (SEE) group in the Department of Earth and Planetary Sciences at ETHZ is
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electrochemical assays with cell biology on micro-/nano-electronic devices. The aim is to develop molecular assays (genomics and proteomics) and cellular assays and support experimental work across a range of CMOS
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Your position Your role will be to lead an excellent research group at the Department of Biomedicine, conducting creative and internationally competitive research in a field of Anatomy, preferably Neuroanatomy, and using model systems relevant to human development or disease. You will also be...
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The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and...
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completion) in Chemistry, Material Science, Chemical or Process Engineering or closely related We are looking for candidates who are self-driven and highly motivated, creative and excited to work in
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We are looking for an artist and researcher with: A strong curiosity about the natural sciences and a desire to work across disciplinary boundaries. More specifically, the candidate should have a
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, memorization, unlearning, interpretability Grounding AI/ML concepts in the social sciences (philosophy, psychology, law) 2. Real-world impact - working on topics including (but not limited to): Real-world