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NIST only participates in the February and August reviews. Demand for mobile data, the implementation of new wireless devices, and an explosion of mobile users has stressed our telecommunications
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design and data analysis at the NCNR using techniques such as reinforcement learning. key words AI; Machine Learning; Artificial Intelligence; Neutron; Eligibility citizenship Open to U.S. citizens level
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-to illuminate the structural transformations that occur across phases. The optical characterization of biological molecules using vibrational spectroscopy supplies critical, detailed structural information
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simulation, complementary biophysical techniques such as surface plasmon resonance, and advanced data analysis techniques, neutron reflectivity has proven to have unique advantages for studying the structural
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are less facile to determine. This is due in part to a dearth of fundamental property data and a lack of measurement infrastructure for difficult to detect or study drugs and drug metabolites
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: Thank you for your interest in this research opportunity. For more information, please email samuel.stavis@nist.gov. References: [1] Accurate localization microscopy by intrinsic aberration calibration, C. R
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Description We work with scientists in other NIST laboratories to develop tools for computer simulation and analysis of magnetic systems at the nanometer scale. Model verification is achieved by comparison
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NIST only participates in the February and August reviews. This research opportunity is focused on developing advanced chemical characterization and analytical chemistry tools, data and research
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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample
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. A key challenge is the integration of prior knowledge into the data analysis, including both device physics and material properties.We are primarily interested in photonic (e.g. silicon ring