207 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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. The lab will be a multidisciplinary environment of approximately 10 people spanning molecular biologists, biochemists, computational biologists, machine-learning researchers, physicists, and engineers, with
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. Job description As a postdoctoral researcher, you will develop and implement an interdisciplinary research programme investigating the evolution of early prokaryotic life in its geodynamic and climatic
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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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Engineering or the Department of Mathematics, depending on the candidate’s background and preferences The starting date is flexible but an early start is preferred Profile The successful candidate is expected
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Applicants should hold an MSc degree in biomedical engineering, or a related discipline. After successful completion of studies, the PhD degree will be awarded by ETH Zurich. The candidate should
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Applicants should hold a PhD degree in biomedical engineering, or a related discipline. The candidate should have strong previous experience in tissue engineering, mammalian cell culture, and
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enhancement Profile Master's degree in engineering, physics, applied mathematics, computer science, or closely related field Strong background in mathematics and machine learning Programming proficiency in
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, for policy, and the public. We are now looking for a PhD Researcher who combines strong engineering fundamentals with serious attention to how these systems behave in the world and who they serve. Job
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, identifying risks and contributing to progress reporting. You communicate clearly and diplomatically with researchers, educators, program staff, technology specialists and senior stakeholders, and you are
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services powering advanced scientific computing and AI/ML workloads at scale. You will work at the intersection of systems engineering, software engineering, cloud-native infrastructure, and high-performance