219 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Bielefeld University •" uni jobs at NIST in United States
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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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, 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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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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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
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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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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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materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers