280 engineering-computation "https:" "https:" "https:" "https:" "UNIV" uni jobs in Switzerland
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- ETH Zurich
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- EPFL - Ecole Polytechnique Fédérale de Lausanne
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networks Publish results in peer-reviewed journals and present at scientific conferences Co-supervise MSc, BSc, and PhD students and contribute to teaching in the Forest and Landscape Management program
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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website . For any further questions, please contact jonas.wuest@wysszurich.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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to the research group’s teaching responsibilities, which involves teaching courses for ETH’s teacher training program in German. Further, the candidate should be prepared to co-mentor PhD students and to mentor
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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interest and motivation to contribute to the project’s goals (see Job description section above) Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or other
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100%, Zurich, fixed-term The Nanomaterials Engineering Research Group at the Institute for Chemical and Bioengineering is an interdisciplinary team composed of chemical engineers, physicists
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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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CAD packages (Autodesk Revit, Archicad and cadwork3d) and work in a multi-disciplinary team of software engineers, architects, computer scientists Your projects will include multi-disciplinary
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At ETH Zurich, in close collaboration with the spin-off optohive, we are developing a new generation of functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain