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interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
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by publication record). Excellent programming and computer science skills. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel ML and NLP algorithms and models and
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and uses these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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learning field. Excellent programming and computer science skills. Preferred Knowledge, Skills, And Abilities Practical experience developing novel ML, LLM, or CV algorithms and models. Experience with state
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at the Computational Science Initiative (CSI), within the Brookhaven National Laboratory. The selected candidate will collaborate on solving inverse problem, relevant for interference lithography process, by deploying
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strong interest in and experience with the LHC scientific program This position has a high level of interaction with an international and multicultural scientific community. The Omega Group in the Physics
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(HL-LHC) upgrade. BNL serves as the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project, the ATLAS Tier-1 computing facility, and is an active U.S. ATLAS Center
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Apply Now Job ID JR101897Date posted 07/07/2025 The Condensed Matter Physics and Materials Science Division (CMPMSD)at Brookhaven National Laboratory conducts a wide-ranging research program
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to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC