Sort by
Refine Your Search
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Neural Net Deep-learning for Magnetic Resonance Image Reconstruction and Diagnosis Location
-
well-structured form to the final industrial users. Recent advances in AI (Artificial Intelligence), specifically in NLP (Natural Language Processing) and ML (Machine Learning), are promising for
-
and Engineering Division opportunity location 50.64.21.B6790 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Carelyn E. Campbell carelyn.campbell
-
work enables precision calibration of imaging devices, so that sources of bias and uncertainty in image acquisition and reconstruction can be better identified, described, and sometimes corrected. The
-
measurements of the amount of each phase in the material, as well as how the phase fractions evolve during processing and deformation. Similarly, the grain orientations in most engineering materials have
-
Research Advances 5 (2020) 2717-2725. Keywords Atomistic modeling; Color centers in nano-diamonds, Graphene; Multiscale Green’s functions; NV center in diamond; Phosphorene; Quantum computer
-
Location NIST Center for Neutron Research opportunity location 50.61.01.B6535 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Paul David Butler
-
Laboratory, Materials Science and Engineering Division opportunity location 50.64.21.C0942 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Debra J
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and
-
Investigation. November 14, 2019. DOI Keywords Artificial Intelligence; Computer Vision; Confidence Estimation; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base