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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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100%, Zurich, fixed-term The CMR group at the Institute for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next
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100%, Basel, fixed-term The Nash Lab (Lab for Engineering Synthetic Systems) is jointly affiliated with the Department of Chemistry at the University of Basel and the Department of Biosystems
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based in Singapore. We are looking for an exceptional, hands-on engineer to design, build, and test soft robotic manipulation systems for automated baggage handling inside aircraft cargo holds. Our lab's
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multidisciplinary effort involving academia, industry and medical partners. The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform
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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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The Computer Security Group is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of
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Administrative Student Assistant Energy Economy (20%) Administrative Student Assistant in the Energy Economy Department (20%) starting in October 2026 or by arrangement. Your position The job involves providing administrative support to the SWEET CoSi management team, aswell as working on...
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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