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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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, the university fosters innovation across disciplines - from the humanities and social sciences to natural and life sciences. As research becomes increasingly data-driven, the need for robust infrastructure and
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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
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to automatically process user manuals or process videos and extract relevant information. Further research will focus on advanced computer vision algorithms for defect detection. The research projects are usually
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV Publication list Contact details of two refereesPlease send your application to...
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or 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
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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. Profile Enrollment as a student at ETH Zurich or the University of Zurich in a relevant field, such as computer science, engineering, economics and mathematics Intermediate coding skills in R, Stata