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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
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Postdoc in Stochastic PDEs for Transport Networks Reference number REF 2026-0323 Do you want to contribute to shaping the future of public transport through mathematics? Join an interdisciplinary
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fellows, and investigators in imaging methodologies. Assist in maintaining state-of-the-art imaging instrumentation and implementing new imaging technologies. Postdoc Expectations: The Postdoc will be
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machine-learned interatomic potentials, data-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics. Research will address property prediction and optimization as
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Job Description Are you excited by developing novel computational imaging methods that move from research into real-world use? Join our interdisciplinary team as a postdoc to develop advanced image