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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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100%, Singapore, fixed-term ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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and validation through indoor and outdoor experiments. Your profile We seek a highly motivated and dedicated postdoctoral researcher with a PhD (or equivalent) in robotics, materials science/engineering
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
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the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML