307 web-programmer-developer-"https:"-"UCL"-"U"-"Polytechnic-University"-"https:" positions at NIST
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on the development and application of high-resolution measurement methods to study fundamental problems with broad industrial impact in areas such as the service life prediction of polymeric materials. Recent projects
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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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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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quality (p, ρ, T) measurements from 200 – 505 K, with pressures to 40 MPa. The speed of sound is a property that yields very powerful data for developing fluid equations of state (EOS), and we have two
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sample preparation, mass spectrometry, and software development are encouraged to apply as well as an interest in forensics and measurement quality assurance. key words forensics; proteomics; mass
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to the sub-nanometer scale regime. Our goal is to leverage our access to state-of-art X-ray and neutron facilities to develop and apply operando measurement methods that can quantify full three-dimensional
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that can be integrated into the research workflows used in developing new materials (e.g., carbon nanotubes) or in determining disease pathologies (e.g., Alzheimer’s disease). We want to explore solutions
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potentially competing performance goals. Achieving these goals requires the development and application of technologies, such as high performance building envelopes and advanced cooling and ventilating systems
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development of sustainable aquaculture in the US. The research will be accomplished through the complementary capabilities or both organizations including advanced analytical capabilities at NIST (e.g., LC-HRMS
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justin.zook@nist.gov 301.975.4133 Description NIST has led the Genome in a Bottle Consortium to develop widely-used benchmark variant calls for seven human cell lines [1]. GIAB has primarily used methods