428 computer-science-programming-languages-"St"-"ST"-"FEMTO-ST" positions at NIST in United States
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RAP opportunity at National Institute of Standards and Technology NIST Durability of Concrete Materials Containing Reactive Minerals in the Aggregate and Concrete 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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-computer interactions such as curation and information retrieval. key words Ontologies; Natural Language Processing; Machine Learning; Artificial Intelligence Eligibility citizenship Open to U.S. citizens
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RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Additive Manufacturing Processing Methods Location Material Measurement Laboratory, Materials Science and
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RAP opportunity at National Institute of Standards and Technology NIST Nanoparticle Suspensions for Flow Batteries Location NIST Center for Neutron Research opportunity location 50.61.01.B7995
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NIST only participates in the February and August reviews. We study properties of single photon sources, faint sources of light and photon-counting detectors for a broad range of applications. We are particularly interested in developing and characterizing hybrid quantum systems (interfaces...
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measurement to support a DARPA program on “Tailorable Composite Feedstock and Forming”. This project will involve dc to 110 GHz complex permittivity and permeability characterization with on-wafer techniques
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manufacturing of metal components through laser powder bed fusion have been increasingly embraced across a variety of industries and applications. But, broader adoption of this manufacturing technology—especially
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RAP opportunity at National Institute of Standards and Technology NIST Chiral Assembly of Chromophores at Nanoscale Location Material Measurement Laboratory, Materials Science and Engineering
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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