121 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"P" positions at NIST in United States
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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 Metrology for Needed Nuclear Structure and Radioactive Decay Data Location Physical Measurement Laboratory, Radiation
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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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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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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 Integrating Data and Computational Tools for Advanced Materials Design Location Material Measurement Laboratory, Materials
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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 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