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biomaterials / tissue mechanics / additive manufacturing methods German language skills Peer-reviewed scientific publication(s) We offer Your job with impact: Become part of ETH Zurich, which not only supports
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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23 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Computer architecture Computer science » Programming Computer science » Other Engineering » Biomedical
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of synthetic toggle circuits, guided by time-course, single-cell resolution data. These models will then be integrated with automated biocircuit design tools, synthetic biology methods, and strain development
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3