217 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" positions at NIST
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accurate measurements during emergencies, such as those encountered in pre- or post-detonation scenarios. The nuclear forensics program at NIST focuses largely on analytical method development, new and
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plasticity, where genetic drift, transgene instability, or chromosomal rearrangements can alter product quality or yield over time. Understanding this genomic evolution is essential for assuring
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calculation of the thermodynamic and transport properties of gases for use as standards. Areas of particular interest include the development of next-generation standards for measuring temperature, pressure
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Description Research focuses on the chemical and physical mechanisms of and in situ diagnostic development for thermal chemical vapor deposition (CVD) and atomic layer deposition (ALD), with applications in
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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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their enterprises. We are interested in projects that focus on the development and application of performance metrics, information models, test methods, and protocols to assess and assure the key attributes
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exist for development of theory for and measurements of background and critical region thermal transport properties of such mixture systems. Proposals that integrate theoretical development with
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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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aptamer conformation changes. Method development efforts should focus on the incorporation of a robust and optimized experimental design aimed at assessing the sources of variability, repeatability, and
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Tytus Dehinn Mui Mak tytus.mak@nist.gov 202.360.6799 Description In the past decade, the rapid pace of development in mass spectrometry technologies has accelerated the rise of metabolomics and resulted