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Apply Now Job ID JR101924Date posted 07/15/2025 The Stakeholder and Community Relations Office develops best -in-class communications, science education, government relations, and community
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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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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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experience with top-caliber scientists and access to state-of-the- art instrumentation. The CFN mission is advancing nanoscience through frontier fundamental research and technique development and is the nexus
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. This includes a combination of custom designed and built parts and vendor produced components developed by a collaboration of the NSLS-II scientific, engineering, and technical staff. As many of these instruments
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. This includes a combination of custom designed and built parts and vendor produced components developed by a collaboration of the NSLS-II scientific, engineering, and technical staff. As many of these instruments
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. This includes a combination of custom designed and built parts and vendor produced components developed by a collaboration of the NSLS-II scientific, engineering, and technical staff. As many of these instruments
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. This includes a combination of custom designed and built parts and vendor produced components developed by a collaboration of the NSLS-II scientific, engineering, and technical staff. As many of these instruments
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Develop a prototype neural network model for modeling strongly correlated materials. Implement and experiment with models using PyTorch and TensorFlow frameworks. Collaborate with team members to evaluate
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized