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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division
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Scattering Data Location Material Measurement Laboratory, Biomolecular Measurement Division opportunity location 50.64.51.C0789 Gaithersburg, MD NIST only participates in the February and August reviews
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RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data Interpretation and Integration Location
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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RAP opportunity at National Institute of Standards and Technology NIST Coupling electronic structure methods, artificial intelligence, and data-driven approaches for next-generation quantum
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alloys, carbon-based composites, and solid-state-biomolecule hybrid structures. Our data-driven development uses cheminformatics methodologies combined with machine learning methods to produce predictive
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our data infrastructure is set up so that all microscopy datasets from all users are collected and archived at a central file location. In 2020, we have begun curating and labeling microscopy datasets
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Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods NIST only participates in the February and August reviews. Molecules vibrate with
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.; McLinden, M. O., Nuclear Magnetic Resonance (NMR) Spectroscopy for the in situ Measurement of Vapor-Liquid Equilibria. J. Chem. Engr. Data 2020, https://pubs.acs.org/doi/10.1021/acs.jced.0c00113 . Nuclear
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the continuing increase in speed and capability of commodity graphics processors, immersive visualization offers increasing opportunities to express scientifically meaningful results. Data at NIST spans a wide