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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal
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, public policy, international relations, or related fields (Position 2) Master’s degree or equivalent in environmental science, geography, ecological economics, computer science, data science, or related
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range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international
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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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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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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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international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
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equivalent qualification and is expected to establish an internationally recognized research program in the field of physical inorganic chemistry. Research methodologies may include, but are not limited
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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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materials relevant to photonics, (opto)electronics, energy conversion and storage, catalysis, or quantum information science. Candidates are expected to pursue highly interdisciplinary research