Sort by
Refine Your Search
-
, or techniques that will speed up analysis times, provide increased information to the chemist, and/or simplify data interpretation while enhancing data quality. One of the goals of the forensic program at NIST is
-
://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
-
[email protected] 303.497.3882 Description Josephson junctions can be used in circuits that perform logic operations in picoseconds and may enable high-performance, energy-efficient, cryogenic computers
-
recognition; Multivariate statistics; LC-MS analysis; Computer programming; Data analysis; Chemometrics; Principal component analysis; D-partial least squares; Eligibility citizenship Open to U.S. citizens
-
quantum computing. Their dimensions range from a few to several hundred nanometers. There is special interest in color centers in nanodiamonds, which give them unique photonic and spin characteristics
-
Robotic Systems for Smart Manufacturing Program is developing the measurement science needed to enable manufacturers to characterize and understand the performance of robotics systems within
-
Development of Heterogeneous Photonic Integrated Circuits at sub-micron wavelengths NIST only participates in the February and August reviews. Our group is world experts on developing photonic integrated circuits based on group III-V semiconductors on insulator (SiO2) architectures. Applications...
-
RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
-
-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
-
, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI