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reduction, with an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and
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production at LHCb https://arxiv.org/pdf/2507.13447 - Theory-Informed Neural Networks for Particle Physics. Knowledge & Experience Essential Background in high energy particle physics and/or advanced quantum
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With this PhD you will join the NWO Vidi project
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candidates for this project should have a strong background in Applied Mathematics, Engineering, Physics or other related disciplines. Full details of how to apply can be found at the following link: https
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; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Experimental Atomic Molecular and Optical Physics , Experimental Condensed Matter , Experimental
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under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Vaci, N., Edelsbrunner, P., Stern, E., Neubauer, A., Bilalić, M., & Grabner, R
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assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https
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17 Mar 2026 Job Information Organisation/Company Université de Haute-Alsace Department IRIMAS Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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20 Mar 2026 Job Information Organisation/Company University of Minho Department Escola de Engenharia Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2
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inference, and computational physics. Among generative methods, Normalizing Flows (NF) stand out for their ability to learn a transformation from a simple distribution to a target distribution through a