83 electrical-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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position within a Research Infrastructure? Yes Offer Description Résumé En tant que Directrice adjointe ou Directeur adjoint en charge des opérations, au sein d’une Direction collégiale, vous êtes
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14 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Electrical engineering Engineering » Systems engineering Engineering » Other Physics
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promising candidates for this goal, combining fast electrical control, compact device geometry, and excellent performance in a semiconductor platform. As this technology advances, one of the main remaining
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background
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biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells that respond to electrical
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biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells that respond to electrical
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at CHUV by verifying and validating robust software that contributes to various stages of therapy development (including: imagery, therapy optimisation, interface with the electrical stimulators, home use
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of scientific articles in peer-reviewed journals Presentation of research results at international conferences and scientific meetings Your profile PhD in Physics, Materials Science, Electrical Engineering
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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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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal