350 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" positions at NIST
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scattering is routinely used to study solutions and surface adsorption of biomacromolecules. Neutrons are particularly well suited to study biological materials because of their sensitivity to light
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position focuses on developing measurement methodologies to characterize mechanical properties and deformation behavior in advanced packaging applications. It involves: Design, application, and evaluation
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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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NIST only participates in the February and August reviews. Many industrial processes generate carbon dioxide as a by-product, which is released to the atmosphere and contributes to global warming
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240.314.6361 Description Despite the great promise for the field of proteomics, technologies for identifying and quantifying low abundance proteins remain limited. Mass spectrometry (MS) is the most widely used
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We develop and utilize state-of-the-art experimental and computational techniques to acquire, evaluate, and correlate thermodynamic data of standard reference quality with a particular emphasis on
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crime scene hazards—require more sensitive and robust methods, especially in field environments. Another area of concern is that current analytical methods for drug testing are not agile or well-resolved
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reviews. Nuclear magnetic resonance (NMR) spectroscopy has several important advantages for quantitative measurements of amount of substance: authentic material is not required for calibration, sample
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of engineered biological systems. We are recruiting applicants for experimental and theoretical research to advance rational design for engineering biology. Of particular interest is the development of new
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to the polymers domain. The reasons for this include that in polymers, we often have small datasets (due to costly experiments), sparse datasets (as the goal is often to probe specific quantities rather than a full