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also provide information of interest in criminal investigations, such as improved ability to identify individuals; prediction of an unknown individual’s ancestry, hair/eye color, or age; and non-human
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the continuing increase in speed and capability of commodity graphics processors, immersive visualization offers increasing opportunities to express scientifically meaningful results. Data at NIST spans a wide
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
information into neural networks for modeling dynamic systems; use of uncertainty information to improve the performance of sensor-network based measurements employing machine learning; uncertainty
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301.975.4579 Description As the demand for high resolution, high content imaging increases, the cost and challenges of acquiring, storing, processing, and analyzing today’s very large imaging data sets are even
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of integration, encompassing AM equipment, data, and simulation tools. To facilitate this, this opportunity focuses on building the necessary data and computation infrastructure to enable the Integration
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. To embrace these changes, this project will develop a shared calibration service, where NIST and the customer share broadband integrated-circuit calibration artifacts, protocols, software, and data through
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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 from sensor space into real space and
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. Sriram [email protected] 301.975.3507 Description Systems biology involves gathering comprehensive sets of data that define and quantify the elements of a particular biological system and computationally
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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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@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