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analysis methods and high-performance computing to develop solutions for specific societal and economic challenges. Located at the D4 Business Village in Root, close to Lucerne, ETH Swiss GeoLab works at
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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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, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong
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of affiliated faculty as well as with the Public Discourse Foundation Profile Strong candidates will have most of the following: Completed undergraduate degree in a social science program with a preference for
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of artificial intelligence, atomistic simulation, and materials science, starting in September 2026 or by mutual agreement. Our group develops computational methods to accelerate the discovery and design of
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Experience with one or more of the following is an asset: material science, material fabrication or prototyping, computational design Self-driven with the ability to work both independently and collaboratively
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offer You will conduct your research in Empa’s laboratories in Dübendorf and will be enrolled in the doctoral program in Electrical Engineering at ETH Zurich. The project is part of the National Centre
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. The GeoLab is focused on Earth observation and its applications. It uses satellite, airborne, ground-based and in-situ observations and applies AI-driven analysis methods and high-performance computing
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initiatives This interdisciplinary project offers a rare opportunity to build expertise across human sleep physiology, stress and arousal science, mobile health, digital phenotyping and computational analysis
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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