214 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at ETH Zurich in Switzerland
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80%-100%, Zurich, fixed-term The Chair of Education Systems, at the Department of Management, Technology, and Economics , investigates the shifts in educational systems in the face of globalization
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that unites researchers, entrepreneurs, and industry leaders to explore how AI transforms science, technology, and society—showcasing cutting-edge research and cross-disciplinary collaboration from three
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Institute of Technology in Architecture (ITA) in collaboration with the Chair of Architecture and Urban Design at the Institute of Landscape and Urban Studies (LUS). A/S investigates passive and active
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group additive manufacturing at inspire offers in collaboration with the Advanced Manufacturing Lab (amlz
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Sciences with strong IT/programming skills, or in Computer Science/Physics with interest in geoscience and sensors, to support sensor-noise analysis, calibration workflows, and seismic-coverage modelling
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that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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should be directed to jamie.mccaughey@usys.ethz.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education
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characteristics that align well with the position: You are expected to have a Ph.D. degree in Engineering, Computer Science, Applied Mathematics, or related fields with an excellent track record in competitive