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in real-world environments. Position Description: In this position, you will lead research a project creating millimeter-wave superconducting devices using transition metal silicide materials, under
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machine learning. Essential Duties and Responsibilities: Design and conduct experimental studies using structured, correlated, or quantum light to probe samples with reduced dose. Carry out X-ray imaging
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-driven experiment design. Optimize pipelines for performance, parallelization, and near real-time operation during beam time. Contribute to simulation tools to test imaging concepts, predict performance
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also has strong detector R&D programs on silicon detectors and in trigger/data acquisition. BNL serves as the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project
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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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2019, the U.S. Department of Energy (DOE) approved the EIC project by issuing Critical Decision 0 (CD-0), or “mission need,” and selected Brookhaven National Laboratory (BNL) as the host site
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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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scattering. This work is to be done as a part of a BNL Laboratory Directed Research and Development (LDRD-B) project, focused on gathering experimental characterization of materials predicted to have non
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solutions to challenges influenced by meteorological conditions (contaminant dispersion, weather extremes, building design, renewable energy generation) in highly heterogeneous environments such as cities and
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radiolysis as a tool to study fundamental molecular energy conversion processes such as charge separation, transfer/transport and recombination, as well as projects with applications in light-driven chemical