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and not by artificial intelligence. 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, cutting
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approach to addressing complex scientific challenges. Ability to adapt to evolving research directions and handle catalogue processing demands. Passion for advancing research through technology. Workplace
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other research activities of the research group Ecology. Your profile Applicants should hold a PhD degree in ecology, botany, biogeography, environmental science, computational biology or related fields
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materials relevant to photonics, (opto)electronics, energy conversion and storage, catalysis, or quantum information science. Candidates are expected to pursue highly interdisciplinary research
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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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80%-100%, Zurich, fixed-term The Biomaterials Engineering research group at the Institute for Biomechanics (IfB), D-HEST, ETH Zurich, develops biomaterials and advanced biomanufacturing systems
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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science
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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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, Environmental, and Geomatic Engineering, has an opening for a PhD student in model-based planning support for transport and urban systems under uncertainty. Planning transport and urban systems is inherently