179 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at NIST
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spectrometry-based proteomics and metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from
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possible form (i.e., fuel, soot, intermediate, and complete products of combustion) will be performed. Comprehensive data sets of this type have not been previously reported for full-scale enclosure
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extensive single molecule 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
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organisms. Specifically this includes demonstrating the capabilities and utility of transcriptomic and proteomic techniques in diverse species, making data available and creating programmatic tools for
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a shared calibration service, where NIST and the customer share broadband integrated-circuit calibration artifacts, protocols, software, and data through an integrated web-portal. A successful
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demand from industry is much larger than the current rate of experimental data production. Consequently, there is an obvious need for accurate methods that can predict viscosity in a range of pressures
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opportunities to express scientifically meaningful results. Data at NIST spans a wide range from nano to cement to models that exhibit complex dynamics. This research will build on open source software
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of hundreds of millions of tonnes per year, good property data are available for only a few dozen fluids. A better understanding of fundamental fluid behavior would allow the accurate prediction of
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Keenan [email protected] 303.497.3665 Karl Francis Stupic [email protected] 303.497.4564 Description Neural net systems have been developed to process magnetic resonance imaging (MRI) data
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including uni-axial and bi-axial loading at different strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the