327 engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027) You have an excellent track record and must meet the general
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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you in this job. You do not need experience with every technology listed above. Knowledge of law, economics, or legal research is also not required Workplace Workplace We offer We
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus evaluation effort. The ideal candidate will build and operate the evaluation codebase and pipelines that inform our
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only to delve into modern nanofabrication and cutting edge material science, but also to actively engage in fundamental physics and quantum technology topics, in the uniquely collaborative effort to go
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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 30,000 people from
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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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10%-30%, 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 Student Assistant to
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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100%, Zurich, fixed-term We are seeking a skilled engineer to own the technical release path of Apertus models. The ideal candidate will integrate Apertus into the open-source inference ecosystem