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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties Location Material Measurement
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via laboratory testbeds, numerous machining centers, and a nanoscale science center. Furthermore, NIST provides computational resources and has an interest group for AI that regularly meets, giving
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; Combinatorial library; Informatics; High-throughput; Composition spread; Hyperspectral data Analysis; Data mining; Functional materials;
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843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through analytical methods
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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classification of scientific publications by their relevancy have been done at TRC. A successful applicant is expected to have a strong background in computer sciences, particularly in AI, NLP, and ML. No specific
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RAP opportunity at National Institute of Standards and Technology NIST High-Resolution X-Ray Spectroscopy Using Microcalorimeter Detectors Location Material Measurement Laboratory, Materials
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vesicles. Science Translational Medicine, 2019. 11(492). 3. Nelson, B.C., et al., Measurement and standardization challenges for extracellular vesicle therapeutic delivery vectors. Nanomedicine (Lond), 2020
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Foundations for System Interoperability Location Information Technology Laboratory, Software and Systems
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RAP opportunity at National Institute of Standards and Technology NIST Incorporating Theory and Domain Knowledge into the Machine Learning of Polymeric Systems Location Material Measurement