172 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at NIST
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determination of marijuana components, development of vapor measurement technology and canine training aid materials for opioids and improvised explosives, targeted and non-targeted screening of bulk samples and
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on the development of nucleic acid-based standard materials and the application of emerging technologies to assist clinical testing efforts. key words Sequencing; Capillary electrophoresis; DNA; Clinical; Genotyping
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prevent a true function-by-design approach to development and manufacturing. We are interested in using analytical theory, large-scale molecular dynamics (MD) simulations, and density functional theory (DFT
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of materials under operational conditions improves fundamental understanding and accelerates development of highly-reliable materials and devices. Applicants will work to develop relevant test approaches
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course-grained simulations of nanotubes with large adsorbed dispersant molecules in solution. It is expected that the challenging nature of these simulations will require the development of novel
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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation
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-generation” DNA sequencing, along with multiplexed affinity-based protein measurements. Technology development is based on microfluidic systems for cell manipulation and culture, and sample preparation
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, process, or part qualification and providing benchmarking datasets for model validation to support industry adoption and standards development of metal BJAM. NIST has researched other AM technologies
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insights into medical inquiry and in the development of medical diagnostics to advance human health, significant gaps persist in the measurement services and measurement science tools needed to obtain
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to this research is the development and application of real-time data analysis pipelines to process the vast, high-speed XRD datasets generated during AM processes. These pipelines will utilize