218 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S"-"St" positions in Switzerland
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Zürich. The candidate will work on the Empa Campus in Dübendorf and will be enrolled in the doctoral program of ETH Zürich. The position is available from 1st July 2026 (or later upon agreement). We live a
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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
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systems. Empa collaborates with the Federal Office for Defence Procurement, armasuisse, to assess and optimize the energy supply security for a defence relevant site in Switzerland. A particular focus lies
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the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and Informatics: 12 months Faculty of Medicine: 12 months Vetsuisse Faculty: 12 months Faculty of Arts and
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight