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and are transforming biosciences and biotechnology. Yet, the translation of technologies requires greater measurement confidence underpinned by SRMs. Data produced by the NIST-led Genome in a Bottle
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balance between the choices of mathematical approximation, computer architecture, data structures, and other factors-a balance crucial to the solution of many applications-driven problems. key words
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understanding of materials. For communications technology, the lack of acoustic data limits the design of acoustic filter technology. For pharmaceuticals and chemical manfucaturers, there are important relaxation
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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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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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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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-nanowire single-photon detectors for applications in quantum information processing, loophole-free Bell measurements, and sources of quantum randomness. References Shainline J, et al, Optics Express 25 10322