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RAP opportunity at National Institute of Standards and Technology NIST Compressive Sensing Methods for Electron Microscopy and Microanalysis Location Material Measurement Laboratory, Materials
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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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GHz (and potentially up to 300 GHz), which opens new research opportunities at the interface between materials science, chemistry, bioengineering, and physics. The Associate will perform high frequency
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, industrial, operations research, computer science) and social sciences (sociology, human geography, decision science) to address a variety of research areas in a multi-disciplinary approach. Research topics
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these models do not account for realistic conditions and require lengthy computational time. In order to overcome the practical challenges and numerical bottlenecks, the Fire Research Division of NIST’s
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the world. With this production system, we are looking to augment our ability to rapidly answer science questions using the aggregated data volume. Additionally, we seek to develop and deploy new autonomous
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NIST only participates in the February and August reviews. The Community Resilience Program (https://www.nist.gov/community-resilience ) is developing science-based tools to assess resilience and
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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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NIST only participates in the February and August reviews. The need to reduce building energy consumption is well-established and has been the subject of research for many decades. More recent policy motivations have made building energy efficiency even more pressing. However, energy savings...
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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