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RAP opportunity at National Institute of Standards and Technology NIST Entangled-Photons for Quantum Networking Location Information Technology Laboratory, Applied and Computational Mathematics
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
postdoctoral scholars to work with us on innovative research to advance the state of the art in measurements of such quantities. Opportunities exist to carry out projects to achieve: photonic measurements
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Computation; Estimation; Optimization; Simulation; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment Supplementation $102,415.00 $3,000.00
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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increasingly clear that Machine Learning/AI are having great impacts across a number of fields of physics. This research opportunity revolves around applying these techniques towards optimizing experimental
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RAP opportunity at National Institute of Standards and Technology NIST Computational Studies of Functional Oxide Materials and Devices Location Material Measurement Laboratory, Materials
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. The NIST channel sounding measurement team specializes in the development and use of instrumentation in the 10s of GHz based on phased array antennas that is optimized to capture dynamically evolving
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Computational Mathematics Division opportunity location 50.77.11.B7430 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Vladimir V Marbukh [email protected]
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Computational Mathematics Division opportunity location 50.77.11.C0256 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Anthony Jose Kearsley anthony.kearsley
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI