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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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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Adsorption Science to Enable Sustainable Development Location Material Measurement Laboratory
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design Location Material Measurement Laboratory, Materials Measurement Science Division opportunity location 50.64.31.C0878 Gaithersburg, MD NIST only participates in the February and August reviews
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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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Material Measurement Laboratory, Materials Measurement Science Division opportunity location 50.64.31.C0886 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email
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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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Location Material Measurement Laboratory, Materials Science and Engineering Division opportunity location 50.64.21.B8104 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers
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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
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research will involve the development of beam-forming elements (including lithographic antennas or silicon micromachined corrugated feedhorns), superconducting elements for coherent processing of the
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) methodologies and modern machine learning methods (support vector machines, symbolic regression). Various aspects of data processing such as detection of erroneous data (outliers) and data balancing