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21 Aug 2026 Job Information Organisation/Company CNRS-LMA Department laboratoire de Mécanique et d'Acoustique UPR 7051 Research Field Mathematics » Computational mathematics Engineering » Simulation
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response across scales. The project combines physics-based modeling, simulation, theoretical reasoning, and quantitative comparison with experiments in collaboration with partners from the ETH Department of
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equivalent Research Field Physics » Computational physics Education Level PhD or equivalent Skills/Qualifications Successfully completed university degree (Master, Diplom or equivalent) and PhD, or
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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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Leibniz-Institut für Astrophysik Potsdam (AIP) | 2 months ago
, with important application to protoplanetary discs and planets. Candidates with a thorough background in Astrophysics, Physics, Computational Methods and Neural Networks that have very good to
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theory, quantum information, statistical physics, or related areas. Experience in modern computational approaches for many-body quantum systems such as Tensor Networks, Neural Quantum States, or quantum
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data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent
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features. No cookies to display. Reject Save My Preferences Accept Skip to content Postdoctoral position in simulation-based inference for particle physics Uppsala university Share: Facebook Twitter
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storage, conversion, and electronic applications. Develop interpretable and physics-informed AI approaches to extract chemical and physical insights from computational and experimental data. Assist in