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DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.
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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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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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seek a dynamic and versatile intern with a mechanical engineering background and a hands-on attitude. The ideal candidate is keen to learn the intricacies of computational industrial robotics in a fast
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a master’s programme). Your studies are in a social science discipline (e.g., political science, sociology, anthropology) or a spatial science discipline (e.g., urban and spatial planning, urban
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100%, Zurich, fixed-term Our research group in the field of Digital Biomarker research (Health Informatics) is looking for a new PhD student starting as soon as possible. The position is based in
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expertise in material science, engineering, and computing. The lab focuses on sensing technologies for electronic textiles, with applications in sports and health. To strengthen its operations, the BMHT Lab
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artificial intelligence. For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The new professor is expected to contribute
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(master's level or above) or equivalent, in Computer Science, Software Engineering, Computational Science, Physics, Astrophysics, or a related field. Programming Skills: Proven proficiency in programming