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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division
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have shown that such data can provide information about fluctuations in promoter activity and can be used to predict rates of state change in cell populations. Applying these techniques to induced
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RAP opportunity at National Institute of Standards and Technology NIST Full Scale Enclosure Fire Measurements at the NIST Large Fire Laboratory Location Engineering Laboratory, Fire Research
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or poor state-of-knowledge surrounding nuclear input data. Large uncertainties on half-lives limit the precision of geological and astrophysical clocks. Imprecise or inaccurate beta spectrum shapefactors
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the second, with implications for GPS accuracy and dark matter detection. However, these optical clocks are more prone to down time than the microwave clocks used in the past, creating “gappy” data which often
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development, microfabricated device design and development, measurement of samples with ultrahigh throughput sequencing and microarrays, and bioinformatic/biostatistical data analysis of the large data sets
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RAP opportunity at National Institute of Standards and Technology NIST Large Eddy Simulation of Fires and Combustion Systems Location Engineering Laboratory, Fire Research Division opportunity
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scaled up to handle large numbers of samples in massively parallel, low-cost analysis systems. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in
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in the generation of an unprecedented quantity of data. This marks an inexorable shift of the field into the realm of “big data,” necessitating the development of novel machine learning approaches
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently