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-Performance Computing High-Energy Theory High Energy Physics Nuclear astrophysics Machine Learning Quantum Machine Learning Appl Deadline: 2026/07/31 11:59PM (posted 2025/11/19, listed until 2026/07/31
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Theory Nuclear Theory Nuclear astrophysics Quantum Machine Learning High Energy Physics Machine Learning High-Energy Theory Appl Deadline: 2026/07/31 11:59PM deleted (posted 2025/11/19, listed until 2026
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the third Higgs boson decays to two tau leptons, or another highly sensitive combination. The student will gain expertise in machine learning techniques for signal-background discrimination and will
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Associate you will design, manufacture, and commission of a bespoke CO2 cooling rig during the first year. You will be based primarily at the University of Bath with extended secondments to CERN. The second
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methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
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of dark matter particles in the decay of the gluinos. The search will be performed using the full ATLAS Run-3 13.6 TeV proton-proton collision data. The student will gain expertise in machine learning and
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ExperienceNone Additional Information Eligibility criteria - Holding a doctoral degree in particle physics - Experience in C++ and Python programming is desired - Experience in training and using Machine Learning
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] Position Title: Position Type: Postdoctoral Position Location: Lemont, Illinois 60439, United States of America [map ] Subject Area: High Energy Physics / Machine Learning Appl Deadline: none (posted 2025
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The High Energy Physics Division at Argonne National Laboratory invites applications for a postdoctoral research associate position to conduct research in machine learning (ML) for applications in
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and