221 Computer-Science-"https:"-"Data-driven-Materials-Modeling"-"https:" positions at ETH Zurich
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cooperation with international consortium partners Profile A Master’s degree in urban analytics, artificial intelligence, computer science, transport planning/engineering, geomatics, or a related field A good
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performance of the underlying compute infrastructure, overlapping with ML systems performance engineering Contribute to systemic improvements in CSCS-based resources (network, storage, scheduling) relevant
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The Department of Health Sciences and Technology (www.hest.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The focus of this new professorship will be
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems. Within this field, we are continuously developing and adopting various algorithms for multiple...
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, Computational Biology, Computer Science, Data Science, Life Sciences or a related field. Experience working with biomedical or scientific research data. Good scripting skills (preferably Python; Bash or similar
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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20%-40%, Zurich, fixed-term ETH Zurich is one of the world’s leading universities specializing in science and technology. It is renowned for its excellent education, cutting-edge research, and its
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The Department of Chemistry and Applied Biosciences (www.chab.ethz.ch) at ETH Zurich and the PSI Center for Neutron and Muon Sciences (CNM, www.psi.ch/en/cnm) at the Paul Scherrer Institute (PSI
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Engineering Laboratory has a long-standing research program in the engineering of ex situ organ perfusion systems, developed as part of the interdisciplinary Liver4Life project in collaboration with
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-PSI Quantum Computing Hub and the advertised position will involve close collaboration with its trapped-ion team, which conducts related research on scalable trapped-ion quantum-information processing