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Description Research opportunities are available to develop and advance measurement methods required for current and future semiconductor manufacturing processes. Areas of particular interest include
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material property data, as defined by a pre-determined constitutive model, using inverse methods. Microstructural characterization using SEM, TEM, x-ray, and neutron scattering is applied when appropriate
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. Nondestructive methods such as Prompt Gamma Activation Analysis (PGAA) are well suited for multi-elemental analysis for bulk materials. The research will explore imaging of gamma ray emission by Compton scattering
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on a collaboration with experts across multiple Laboratories at NIST involving detector-response modelling, next-generation TES sensor design, and quantitative sample-preparation methods. key words
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infrastructure, development of methods for storage and transport of alternative fuels and development of critical data on effects of radiation on structural materials. Our laboratory also maintains the nation’s
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303.497.3480 Description Microbes are prolific (≈60% of Earth’s biomass) and exhibit substantial genetic diversity; however, laboratory methods for culturing these diverse microbes in vitro are severely limited
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-enhanced laser-based methods, optical spectroscopies (infrared, visible, ultraviolet, Raman, light scattering), gas chromatography/mass spectroscopy (GC/MS), high-performance liquid chromatography (HPLC
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commercial assays. Common methods of characterization include copy number determination by quantitative PCR and digital PCR, as well as sequencing by Sanger and next-generation platforms. Projects focus
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of molecular biology techniques (PCR, metagenomics, biomarkers, and biosensors) has resulted in an explosion of new methods and strategies to generate quantitative insight into microbial community dynamics
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, high sensitivity methods for far-infrared detection, and wide bandwidth UV-IR devices for absolute calibration of incident photon flux. A qualified candidate would already have expertise in at least