423 engineering-computation "https:" "https:" "https:" "https:" "UNIV" positions in Switzerland
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. Institution: ETH Zurich, Department of Management, Technology, and Economics (D-MTEC) Chair: Strategic Management and Innovation (Prof. Dr. Georg von Krogh) Supervision: Prof. Dr. Georg von Krogh and Dr. Ann
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Supporting experimental documentation and basic data organization Training will be provided for biological sample preparation and experimental procedures. Profile Background in electrical engineering, sensors
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Deadline 21 Apr 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100
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25 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Technology » Energy technology Researcher Profile Recognised
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, reliability, and robustness of RAI. The successful candidate must be an outstanding researcher in their field of computer science, machine learning, AI, applied mathematics or statistics with a proven track
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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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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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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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-content imaging, and computational modelling, we will systematically compare how 320 small molecules reshape metabolism in both 2D and 3D environments. The resulting dataset will reveal which drug-induced