201 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions at NIST
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currently contains over 4.2 million data points along with the associated experimental uncertainties. Direct access to this information opens unique possibilities for the development of next-generation
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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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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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, simulation, and applications work in collaboration with experts in government, industry, and academia. Additionally, the Associate will have access to a full cell culture facility (eukaryotic and prokaryotic
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RAP opportunity at National Institute of Standards and Technology NIST Nanophotonic Enabled Spatiotemporal Control of Light Location Physical Measurement Laboratory, Microsystems and Nanotechnology Division opportunity location 50.68.02.C0628 Gaithersburg, MD 20899 NIST only participates in...
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of buildings and infrastructure systems during and after a hazard event, and time and costs associated with restoration of system functionality and services. Metrics and tools for community resilience will
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301.975.6662 Description An experimental and modeling program is underway to further the understanding of dynamic processes that occur in fires and to reduce the impact of fire on people, property, and the
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GHz (and potentially up to 300 GHz), which opens new research opportunities at the interface between materials science, chemistry, bioengineering, and physics. The Associate will perform high frequency
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experiments and datasets for model validation of multi-phase computation fluid dynamics (CFD), discrete element method (DEM), or data-driven modelling. Measurement of defect types and populations using micro- x
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advantage of associated particle separations, physical characterization, and chemical analysis. Projects incorporating machine learning and chemometric approaches are also welcome. We are seeking independent