166 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at ETH Zurich in Switzerland
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University
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Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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, control engineering, and immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle
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over 1'400 PhD students & post-docs. Our mission is to amplify human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We strive
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At the professorship of Geosensors and Engineering Geodesy (GSEG) at ETH Zürich we carry out cutting-edge research and teaching in the areas of geomonitoring, reality capture, high precision
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100%, Zurich, fixed-term ETH Zurich is one of the world-leading universities for science and technology. At ETH Zurich, researchers experience a climate which inspires top performance. Situated in
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. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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100%, Zurich, fixed-term The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. Project background The position is
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof