207 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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commitments Profile We are looking for a proactive, highly motivated and well-organised person, studying for an MSc (or equivalent Master's degree) in a quantitative discipline (such as engineering, informatics
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and Climate Science at ETH Zurich and the WSL-Institute for Snow and Avalanche Research SLF and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science Foundation (SNSF
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be
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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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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus post-training effort. The ideal candidate will develop, run, and evaluate the SFT and reinforcement learning pipelines
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inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from
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100%, Basel, fixed-term A World-Class Research Environment at the Nexus of Biology, Engineering, and Physical Sciences The Biotechnology and Bioengineering group led by Prof. Dr. Martin Fussenegger
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an international, vibrant, and intellectually stimulating work environment. The head of the group also serves as Co-Chair of Design++, the ETH Center for Augmented Computational Design in Architecture, Engineering
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools