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device fabrication, and electrical engineering to develop bioelectronic interfaces enabling closed-loop programming of cellular behaviour and real-time monitoring of metabolic activity. There will also be
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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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. 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 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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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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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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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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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