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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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of approximately 3–6 months at the NYCreates Albany Nanotech Complex in Albany, NY, depending on project needs. The assignment is not guaranteed and will be determined based on program priorities
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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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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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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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/electron/proton transfer reactions, charge mobilities, radical reactivity, molar absorptivity spectra, and more. This position is for a 2-year term. The work will be under the supervision of Dr. Matthew Bird
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with detector R&D and/or construction Experience with computing and software development for high energy or nuclear physics experiments OTHER INFORMATION: Domestic and international travel should be
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Requirements: Interaction with Hazardous Chemicals (NFPA Health Hazard 3 and 4-CMS Report) Will be expected to lift items at or less than 40lbs Exposure to static magnetic fields >5 gauss Additional Information
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by both collaborations. In addition, the successful candidate will be working closely with the EIC group for extending the study of Lambda hyperon polarization to the EIC, where works on EIC ep and/or