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Vacancies PhD position on algebraic techniques for risk analysis under uncertainty Key takeaways Do you want to do research on the intersection of mathematics and computer science, using algebra
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mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation. Hold a master's degree in
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Department of Mathematics is seeking a highly motivated PhD candidate for a research position funded by the NWO ENW-M project ‘Higher Invariants of Finite-Volume Spaces’. This project is about developing and
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, Mathematics, Applied Mathematics, Mathematical Engineering, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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Engineering, Mathematics and Computer Science. * KPN and Delft University of Technology will work together on new ICT technologies We are looking for brilliant PhD candidates with a strong interest to the join
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needs and individual circumstances. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mathematics, Physics, Chemistry, Materials Science or
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Learning, Artificial Intelligence, or a related field. Demonstrate a strong mathematical foundation in optimization, statistical learning, and probability. Possess a thorough understanding of machine
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Engineering » Other Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1
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Mathematics, Physics, or a closely related field. Because of project definitions, we are looking for EU citizens. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure
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Engineering, Applied Mathematics, Applied Physics, or urbanism with specialisation in data analysis. Because of project definitions, we are looking for EU citizens. Doing a PhD at TU Delft requires English