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. Keywords Image processing; Machine learning, Computer vision; Statistical methods; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Additive Manufacturing Processing Methods Location Material Measurement
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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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fields (PhD is preferred) and have a background in imaging, image analyses, machine learning, and software engineering. References: (1) A. J. Brooks et al, “Neutron interferometry detection of early
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Measurement Science and Engineering Biology Location Material Measurement Laboratory
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Nanoparticle Engineering, Production, Assembly, and Characterization Location Physical
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Fire Dynamics and Fire Protection Engineering Location Engineering Laboratory, Fire Research
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Computational Materials Engineering for Additive Manufacturing Location Engineering
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division
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Analysis, FEA/AI/ML Modeling, and Automation Approaches Location Material Measurement Laboratory, Materials Science and Engineering Division opportunity location 50.64.21.C0998 Gaithersburg, MD NIST only