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Fermilab, Particle Physics Division Position ID: FNAL-Particle Physics Division-MUONRA [#31713, RAMUON26] Position Title: Position Type: Postdoctoral Position Location: Batavia, Illinois 60510
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fundamental questions in statistical physics. The work is primarily numerical, and we seek candidates with experience in particle-based simulations (e.g., molecular dynamics) and a strong interest in large
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of existing antibiotics. The successful candidate will have a demonstrated track record of successfully using single-particle cryo-electron microscopy to solve biological problems and have experience with
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KEK, Institute of Particle and Nuclear Studies / Belle Group Position ID: KEK-Institute of Particle and Nuclear Studies / Belle Group-RESEARCHER [#31357] Position Title: Position Type: Postdoctoral
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, Machine Learning , Neutrino , Neutrino physics and Astrophysics , Phenomenology , Quantum Field Theory , Theoretical Particle Physics , theory , Lattice QCD Appl Deadline: 2025/12/02 04:59 AM
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plasma physics. The successful candidate will investigate key processes related to magnetosphere–ionosphere coupling, energetic particle dynamics, and the structure and dynamics of magnetic fields and
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and tagging working group of the ePIC collaboration. A recent thesis in particle or nuclear physics Experience with GEANT4 and data analysis framework (ROOT for instance) Fluent in English and proven
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physics, which traditionally has relied upon powerful particle colliders, e.g. the LHC at CERN. Axions and axion-like particles (ALPs) are well-motivated dark matter candidates that could solve multiple
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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research positions. Applicants with experience in the following areas are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high