14 image-processing-"Computer-Vision-Center" "Computer Vision Center" PhD positions at NIST
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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
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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
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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
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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
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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
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capable of recognizing data patterns and establishing quantitative relationships have also advanced significantly. The NIST Thermodynamics Research Center maintains one of the largest electronic collections
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analysis from laboratory and synchrotron x-ray diffraction, x-ray absorption spectroscopy for the quantification of chemical short range order, and automated microstructural image analysis. The simulation
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Center for Neutron Research opportunity location 50.61.01.C1104 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Wei Zhou [email protected] 301.975.8169
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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
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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