276 web-programmer-developer-"https:"-"UCL"-"P"-"https:"-"CERIC-ERIC" positions at NIST
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, plays an important role at NIST in the development and interpretation of new measurement techniques, as well as aiding the understanding of the behavior of new materials in existing measurements. In
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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@nist.gov 301.975.4127 Description This research is centered on the development and application of analytical methods to the characterization of nanomaterials. Opportunities exist to study the composition
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various government laboratories to elucidate mechanisms of protein binding to BLMs. We comprise researchers with a broad range of expertise and are actively developing advanced biochemical and biophysical
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are needed to support the clinical testing community and manufacturers of working standard materials. Challenges lie in developing relevant standards in a timely fashion to support new clinical targets and
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and then accessed by a team of experts. We are seeking candidates to address these challenges that range from algorithm development, simulation of reference data, algorithmic accuracy evaluations, design of
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are critical for attaining measurement quality objectives and meeting the needs of the health and medical community. The isotope metallomics program at NIST focuses on analytical method development, rapid
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relative to community goals; and interdisciplinary research and modeling, data visualization, and programming (software architecture, web application development). Buildings; Infrastructure systems; Social
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microfluidic networks.Our goal is to develop systems that enable accurate, high-throughput, and dynamic measurement of materials in flow, which will, for example, improve the ability to specify composition and