201 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions at NIST
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associated costs, leading to the loss of valuable resources and increased reliance on imported materials. The goal of this project is to develop a metrology platform that can evaluate CM separation strategies
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for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring of such processes be experimentally validated under highly controlled
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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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are critical for attaining measurement quality objectives and meeting the needs of the health and medical community. The isotope metallomics program at NIST focuses on analytical method development, rapid
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understanding of the physics of the QAHE necessary to design and develop new quantum resistance standards. Additional applications in quantum information science (QIS) can be envisioned for robust QAHE devices
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of the AFM probe-sample interaction. This research opportunity will focus on developing state of the art AFM instrumentation and computation modeling for 3D nanoscale property characterizations. In either
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and computational models. key words additive manufacturing; phase transformations; processing-structure-property relations; metals; computational modeling; Eligibility citizenship Open to U.S. citizens
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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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. Mixtures of interest include natural gas, refrigerant mixtures (e.g., R-410a), and vapor samples that are important to forensic science (e.g., fuel vapors associated with arson). We are also interested in
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. The Associate will utilize advanced measurement capabilities including LC-MS/MS, LC-HRMS, GCxGC-MS, ICP-OES, and NMR to develop methodologies for chemical contaminant profiling, or next-generation sequencing