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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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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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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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, 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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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
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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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Laboratory (Fermilab). The research project will develop a reliable framework to accelerate the development of novel high-power particle-production target material for advanced particle accelerator
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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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: Use quantum field theory to find how physical principles constrain the scattering of relativistic particles and better understand the fundamental forces of nature, specifically gravity and the strong
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. This study focuses on the features related to the transformation from gas to particle, the gas clustering processes, and condensation growing up to coagulation and scavenging, as well as on the aerosol and