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NIST only participates in the February and August reviews. NIST has led the Genome in a Bottle Consortium to develop widely-used benchmark germline variant calls for seven human cell lines [1
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sequencing data and other epigenomics data available for these cell lines to develop benchmarks for methylation of DNA or other epigenetics technologies. This postdoc could also work with the transcriptomics
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DeCost brian.decost@nist.gov 301.975.5160 Description Trustability and physical interpretability are critical requirements for the development of robust and sustainable machine learning systems needed
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@nist.gov 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to advance drug detection and identification (or drug
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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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remain undiscovered. We are interested in developing new approaches (e.g., engineered microenvironments, mixed species cultures) for expanding microbial culture capabilities, as well as evaluating culture
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physical sensing, quantum science, communications, and dynamic spectroscopy. We have developed novel approaches to comb generation [1], spectral translation [2], and their use to interrogate cavity
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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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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