283 engineering-computation-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE, ETH Zürich) invites applications for a PhD position in the field of CO2 capture, with a focus on structure
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implementation strategy to drive the LIFE Space Mission to successful launch and operations. To support the mission concept study, we opened two positions in Optical Engineering. Project background LIFE brings
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We are looking for a highly motivated postdoctoral researcher with a strong background in electrical engineering and hardware-software co-design to join our interdisciplinary research team at D-ITET
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100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
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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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doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a related field. You have a strong background in computational solid mechanics and nonlinear continuum
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. We look forward to receiving your application and welcoming a new researcher to our team at ETH Zurich! ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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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 more than 120
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools