139 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM"-"L2CM" positions at NIST in United States
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RAP opportunity at National Institute of Standards and Technology NIST Development of Procedures for Increasing the Information Content of the Biomolecular Solution X-ray Scattering Data and
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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 Engineering Atoms for Fundamental Constants and Atomic Data Location Physical Measurement Laboratory, Quantum Measurement
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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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RAP opportunity at National Institute of Standards and Technology NIST Data-Driven Technologies for Fluid Property Simulation Location Material Measurement Laboratory, Applied Chemicals and
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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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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