29 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" scholarships in Switzerland
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. The candidate should have a strong background in computational biology or a related field. They will: Work closely with the clinical partner to understand the unmet clinical needs. Integrate the existing datasets
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15 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Materials engineering Engineering » Mechanical engineering Physics » Computational
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The High Performance Computing (HPC) research group (led by Prof. Florina M. Ciorba) in the Department of Mathematics and Computer Science at the University of Basel (Switzerland) invites
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submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-in-computational
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) Country Switzerland Application Deadline 19 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-position-in-computational
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tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-positions-in-computational… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Doctoral Program in Literary Studies of the University
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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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