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Your research will involve two main components. On the one hand, you will improve current ecosystem services model to be applied to the building context and to novel and designed ecosystems based
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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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knowledge and technology from research to Swiss machine, electrical and metal industries. The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH
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. The research will contribute to the area of neural input systems and will be related to brain-computer interaction. Candidates ideally have a background in Computer Science, Electrical Engineering, or Robotics
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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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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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access. The aim of our research is to advance the fundamental understanding of electrical insulation, motivated by the need to develop novel engineering solutions. We work closely with leading companies in
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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
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of results in scientific journals Your profile We are looking for a highly-motivated student with a MSc degree in physics, quantum engineering, nanoscience, material science, electrical engineering or a
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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