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generation magnetic data storage. Research projects will include using X ray and neutron scattering to characterize the fidelity of the block copolymer structure to the template and computer simulations of
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. This project seeks to provide metaproteomic data related to standardized materials, benchmark bioinformatics workflows of standardized data, and facilitate, and/or participate in inter-laboratory/inter
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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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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