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RAP opportunity at National Institute of Standards and Technology NIST Confident Identification of Metabolites in Biological Samples Location Material Measurement Laboratory, Chemical and
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. An open resource for accurately benchmarking small variant and reference calls. Nature Biotechnology 2019, 37, 561. Artificial intelligence; Machine learning; Data science; Genomics; Sequencing; Precision
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NIST only participates in the February and August reviews. The chemical characterization of biomolecules and the measurement of their interactions at low copy numbers are critical for applications in biomanufacturing and personalized medicine. We are developing new electronics techniques that...
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RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence Location Material Measurement
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MultiPhysics Measurements and Modeling for Microelectronics at Microwave and mm-Wave Frequencies NIST only participates in the February and August reviews. Performance, security, and reliability of microelectronics systems are critical issues for the continued robust growth of the US economy....
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RAP opportunity at National Institute of Standards and Technology NIST Medical and Industrial Radiation Research Location Physical Measurement Laboratory, Radiation Physics Division opportunity
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industries and research sectors. Our research group is interdisciplinary, drawing from diverse previous research experiences including wet-lab and computational work. Interested candidates are invited to reach
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RAP opportunity at National Institute of Standards and Technology NIST Johnson Noise Thermometry with Superconductive Waveform Synthesizers Location Physical Measurement Laboratory, Quantum
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RAP opportunity at National Institute of Standards and Technology NIST Advanced Vibrational Spectroscopy of Higher Order Structures of Protein Location Material Measurement Laboratory
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NIST only participates in the February and August reviews. This suite of projects seeks to advance the microbial metabolomics infrastructure through the development of new analytical methods, including data analysis and novel statistical approaches. We are particularly interested in...