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RAP opportunity at National Institute of Standards and Technology NIST Channel Sounding and Radio Frequency Propagation Location Communications Technology Laboratory, Radio Frequency Technology Division opportunity location 50.67.22.C1019 Boulder, CO NIST only participates in the February...
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procedures must be developed. The new hybrid AM processing methods will be instrumented and characterized using a variety of experimental techniques and computational models. key words additive manufacturing
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, toxicology, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Toxicology; Statistics; Mass Spectrometry; Drugs; Chemometrics; Analytical Chemistry Eligibility
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., biomarkers, metabolites) must be evaluated using digital twins of breath device prototypes. Our digital twins are based on simulations using computational fluid dynamics (CFD) and computational fluid and
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. Measurement assurance is based on a large set of spike-in controls (developed collaboratively with the External RNA Control Consortium) and experiment designs relying on titrations of complex mixtures. key
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understanding of the physics of the QAHE necessary to design and develop new quantum resistance standards. Additional applications in quantum information science (QIS) can be envisioned for robust QAHE devices
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are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
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, (2) interpretation of experimental spectra, (3) development of semi-empirical methods, (4) studies of reactivity indices, (5) computational electrochemistry, and (6) chemical informatics. The explosion
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, identification and quantitation are difficult. In this position, fellows would be tasked with developing advanced methods for the measurement of steroid, thyroid, or peptide hormones, and applying them
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position