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RAP opportunity at National Institute of Standards and Technology NIST Immersive Visualization Location Information Technology Laboratory, Applied and Computational Mathematics Division
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, atomic force microscopy, high-throughput methods, in addition to a range of more traditional techniques to measure the mechanical properties and adhesion. Research projects in the group have focused
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, and developing quantitative image analysis methods. References Sisan D.R., et al. (2012) Predicting rates of cell state change due to stochastic fluctuations using a data-driven landscape model. PNAS
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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 improved
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, are attempting to expedite discovery by applying modern computational methods to identification and characterization of novel material systems. In this context, the NIST/TRC Group is building capabilities in
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NIST only participates in the February and August reviews. The Community Resilience Program (https://www.nist.gov/community-resilience ) is developing science-based tools to assess resilience and
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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are essential for broad adoption of these methods, this postdoc would collaborate with a unique array of technology and informatics developers in the Genome in a Bottle Consortium to develop authoritative de novo
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simulation techniques. In addition, simulations and examination of the overall separation process may require computational studies across multiple length scales. key words Modeling; Nanotube; Molecular
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. The research includes experimental measurements on industrially-pertinent materials using a range of advanced methods (various modes of transmission electron microscopy, x-ray/neutron scattering, x-ray