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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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perspectives. One main research activity is participation in the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. We invite applications for a postdoctoral position in experimental particle physics
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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A Research Associate post is available at Lancaster to work on the upgrade of the ATLAS experiment at the CERN Large Hadron Collider. The post will focus on computing and software upgrade program of
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of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a doctor in particle physics with less than two years of experience after the PhD. Experience in machine learning and
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 2 months ago
(HEP) in connections with the TREASURE, a DOE HEP American Science Cloud Intelligent Data Pilot, and with the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. TREASURE is multi-DOE laboratory
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modern machine-learning techniques, will be exploited to improve the discrimination between the different polarization states. The analysis will use the complete Run 2 and Run 3 datasets collected by
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming