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-generation nuclear science experiments at Jefferson Lab and the Electron-Ion Collider (EIC). As part of our growing multidisciplinary team, you will contribute to the development of superconducting nanowire
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optimization techniques and solvers (e.g., Gurobi, CPLEX), including linear, mixed-integer, or stochastic programming. Proficiency in at least one modern scientific programming language (Python, Julia, or C
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artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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, computational science, a physical science, or engineering or related field. Comprehensive experience programming in one or more programming languages such as Python, C/C++. Experience with one of the AI
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of physical chemistry, inorganic chemistry, computational materials science, or chemical engineering or a closely related field, with demonstrated experience in the scientific application of this knowledge and
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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(Californium Rare Ion Breeder Upgrade) facility or from the Argonne In-Flight Radioactive Ion Separator, RAISOR. In addition, members of the group are leading experimental programs at the Facility for Rare