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UC Berkeley after obtaining her PhD from the University of Amsterdam for which she did research at MIT and Sigma Computing. Her general research interest is on the intersection of machine learning
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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Vacancies PhD ESG-Based Decision-Making for Customer Portfolio Management Key takeaways Insurance companies play a key role in financial markets—not by generating direct monetary value, but by
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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inventory, a major incentive for the project is the application and adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases
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PhD Position in Algebraic Geometry Faculty: Faculty of Science Department: Department of Mathematics Hours per week: 36 to 40 Application deadline: 7 July 2025 Apply now Join our dynamic
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Vacancies PhD position on Stochastic Operations Research in Medical Laboratories Key takeaways This PhD position offers you the opportunity to join an interdisciplinary team of researchers
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant