232 engineering-computation-"https:"-"https:"-"https:"-"https:" uni jobs in Switzerland
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one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
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equipment Develop computational and data analysis tools for bubble dynamics and ultrasound propagation Collaborate closely within our interdisciplinary team, which combines expertise in chemistry, mechanical
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80%-100%, Zurich, fixed-term At Veltist – a Wyss Zurich project – we are reshaping post-operative care through our platform technology Anastoseal, enabling the next generation of implantable
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, observational and laboratory techniques, comparative planetology or the involvement, development and leadership in space missions. The successful candidate's research program will constitute a defining part of
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, comprising RDM experts, research software engineers, data scientists, etc. Profile This position requires PhD degree in data / computational science or related field such as physics, bioinformatics
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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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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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of Environmental Engineering. Project background The two PhD positions are part of a recently funded SNSF project aimed at systematically investigating nonlinear biofilm rheology, with emphasis on the role
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university degree (Bachelor’s or Master’s) in a relevant field; degrees in technical fields (computer science, mathematics, physics, engineering etc.) are a plus Fluency in English and German; French is a plus
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A doctoral student is sought from spring 2026 for a research project at the Institute of Environmental Engineering (IFU), Chair Earth Observation at the ETH Zürich on Snow and ice parameter