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(such as the Spallation Neutron Source at Oak Ridge National Lab). We also work closely with other groups within CMPMSD with expertise in crystal growth, bulk and transport measurements, x-ray scattering
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Deadline: none (posted 2025/05/16) Position Description: Position Description We are pleased to announce exciting postdoctoral opportunities within Dynamical Systems and Ergodic Theory group at Sun Yat-sen
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: Physics / Nuclear Theory , quantum information/computation Appl Deadline: none (offers accepted posted 2025/04/09) Position Description: Apply Position Description The Department of Physics
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: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control
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to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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an interdisciplinary team of researchers as well as the Centre’s academic, lived-experience, and community partners. Additionally, you will work with researchers in the Centre’s Theory & Methods Hub and Communications
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Ref.: 532126 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Two Post-doctoral Fellows in Condensed Matter Theory in
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Studies. The post will be based in the research team of Professor Katie Meehan at KCL’s Strand Campus in central London. The PDRA will report to Professor Katie Meehan (Department of Geography) and work
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teams to integrate AI and machine learning techniques into lattice field theory frameworks. - Engage in large-scale numerical simulations, performance analysis, and optimization using state-of-the-art