480 embedded-system "https:" "https:" "https:" "https:" "St" positions in Switzerland
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design, microengineering, and organ-on-chip culture systems. This position is embedded within a multidisciplinary research team at ETH Zurich and offers the opportunity to work at the intersection
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, you will find a welcoming, open, and highly interactive research environment. Our work is collaborative and interdisciplinary, and it is firmly embedded in the international quantum computing community
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spectroscopic methods is of advantage. An interest for software-based analysis and ev. R-programming is welcome. The ideal candidate is highly motivated, works independently, pays attention to experimental
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. Empa is a research institution of the ETH Domain. The Coating Technologies Group in Empa's Laboratory for Surface Science & Coating Technologies performs physical vapor deposition (PVD) of innovative
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The aim of Spark is to fund the rapid testing or development of novel and unconventional scientific approaches, methods, theories, standards, ideas for applications, etc. It is designed
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100%, Zurich, permanent inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer
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To support the Continuing Education team, we are looking for two: Interns (100%) The first internship is for the period from 15 August 2026 to 14 February 2027. The second internship is for
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intelligent materials. Our work explores new paradigms for monitoring infrastructure through physics-based modeling, sensing systems, and data-driven approaches. The advertised position is part of a research
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The power system is changing, largely driven by the energy transition and climate change. The large shares of renewables, both centralized and distributed, are posing new challenges to system
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We are excited to announce a PhD position at the Chair of Strategic Management and Innovation (SMI), ETH Zurich. The position is part of an SNSF-funded research project that examines how advanced AI