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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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RAP opportunity at National Institute of Standards and Technology NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator Location Engineering Laboratory
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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RAP opportunity at National Institute of Standards and Technology NIST Metabolomic and Lipidomic Research: Emphasizing Advanced Data Analysis, Metabolite/Lipid Annotation, and Functional Pathway
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Application of Artificial Intelligence Techniques for Acquisition and Analysis of Thermophysical and Thermodynamic Property Information NIST only participates in the February and August reviews
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: Analytical Chemistry 86(13): 6393-6400, 2014 Keywords Mass spectrometry; Data analysis; Algorithm; Clustering; MS/MS; Proteomics; Metabolomics; Compound identification; Data mining; Eligibility citizenship
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for this project include state-of-the-art automation for microbial engineering, culture, and measurement. key words Machine Learning; Biology; Bioinformatics; Data Mining; Genetics; Active Learning Eligibility
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analysis methods to mine new or existing data sets. A variety of chemical metrology and chemoinformatic resources and expertise are available to develop, challenge, refine, and validate new concepts
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Division opportunity location 50.77.11.C1141 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Paulina S Kuo [email protected] 301.975.4105 Description
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RAP opportunity at National Institute of Standards and Technology NIST AI/ML on facility-scale electron microscopy data Location Laboratory Programs, Research Data and Computing Office