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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
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been revisited in decades; our goal is to develop a suite of suitable statistical tools which allow clock scientists to properly analyze data with gaps. Additionally, we aim to provide comprehensive
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, this project will employ emerging proteomics techniques (such as data-independent acquisition) and will be working alongside software and algorithm developers to ensure that these platforms can be used beyond
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for Metabolomics Location Material Measurement Laboratory, Biomolecular Measurement Division
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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RAP opportunity at National Institute of Standards and Technology NIST Developing new techniques for studying the underlying mechanisms of hydrogen embrittlement Location Material Measurement
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volume and quality that is consistent with the use of statistical methods; machine learning techniques for knowledge discovery; protein-protein interaction network analysis; novel algorithms for next
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RAP opportunity at National Institute of Standards and Technology NIST Method development for quantifying protein hormones in clinical applications Location Material Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for the Determination of Anthropogenic Contaminants in the Marine Environment Location
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for the Determination of Anthropogenic Contaminants in the Marine Environment Location