412 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at NIST
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jessica.reiner@nist.gov 843.460.9894 Description The Analytical Chemistry Division has an ongoing program to improve the quality of analytical chemical measurements made in marine environmental research through
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RAP opportunity at National Institute of Standards and Technology NIST Chemical Metrology of Dietary Supplements Location Material Measurement Laboratory, Chemical Sciences Division opportunity
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NIST only participates in the February and August reviews. The need to reduce building energy consumption is well-established and has been the subject of research for many decades. More recent policy motivations have made building energy efficiency even more pressing. However, energy savings...
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. An open resource for accurately benchmarking small variant and reference calls. Nature Biotechnology 2019, 37, 561. Artificial intelligence; Machine learning; Data science; Genomics; Sequencing; Precision
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RAP opportunity at National Institute of Standards and Technology NIST Determination of Structural Ensembles Describing Conformational Averaging in Proteins and RNA from Solution NMR and X-ray
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Computational Investigation of Flexible Metal-Organic Framework Materials for Gas Storage and Separation NIST only participates in the February and August reviews. Flexible metal-organic frameworks
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center. Applicants are expected to be skilled in one of the programming language such as C++/C, Perl, Matlab, or R, and have majored in Chemistry, Statistics, or Computer Science. Reference Yang X, et al
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-adoption, etc). A successful applicant would have the opportunity to lead research workstreams, write papers, and engage with AI and measurement science experts from across CAISI and NIST. The artificial
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RAP opportunity at National Institute of Standards and Technology NIST Indoor Localization and Tracking Location Information Technology Laboratory, Advanced Network Technologies Division
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RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data Interpretation and Integration Location