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Materials Science, Physics, Chemistry, Electrical Engineering or similar Motivation and drive to conduct independent, interdisciplinary research Experience in thin-film technologies, PVD methods, material
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of AI-driven
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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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100%, Zurich, fixed-term The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics of ETH Zurich investigates the role of policy
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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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, electrical engineering, computational biology, or other relevant fields Proficient programming skills (Python) and software development/engineering experience Demonstrated experience developing open-source
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informatics, especially chronic disease management (with emphasis on asthma) Machine learning / deep learning / artificial intelligence Profile Ideally, the candidate has a degree in Electrical Engineering and
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students and researchers Additionally, the role offers collaboration opportunities with inspire AG, ETH’s strategic partner for technology transfer to the mechanical, electrical, and metal (MEM) industries.
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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100%, Basel, fixed-term The Systems Physiology lab, led by Prof. Andreas Moor, at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich, located in Basel, is seeking a highly