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with high-speed and energy-efficient InP and GaN chips. This research opportunity at NIST’s Communications Technology Laboratory is focused building the tools and techniques that are required to design
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NIST only participates in the February and August reviews. The maturation of Additive Manufacturing into a viable industrialization technology for wide-scale production requires an expanded notion
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Analytical Technology for Biopharmaceutical Process and Product Characterization NIST only participates in the February and August reviews. Biopharmaceuticals are protein-based therapeutics produced
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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation of hormones in biological matrices. Hormones are essential for major developmental and reproductive...
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New measurement methods and tools are required for biology to emerge fully as an enabling, practical platform for engineering. The Cellular Engineering Group works to provide a foundation of
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RAP opportunity at National Institute of Standards and Technology NIST Infrared Technology Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51.B7540
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RAP opportunity at National Institute of Standards and Technology NIST Interface Engineering: Using Surface Chemistry to Impart Desired Properties Location Physical Measurement Laboratory
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Microscopic and Spectroscopic Characterization in Engineered Polymeric Materials NIST only participates in the February and August reviews. The purpose of this research is to develop advanced
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RAP opportunity at National Institute of Standards and Technology NIST Engineering Enzymes for the Biomanufacture of Nucleoside Conjugates Location Material Measurement Laboratory, Biomolecular
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of structural responses for performance-based seismic engineering of tall buildings. Opportunities include the following: (1) developing improved modeling and analytical capabilities for nonlinear dynamic