352 information-security-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at NIST
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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@nist.gov (303) 497 5235 Andrew J. Slifka andrew.slifka@nist.gov 303.497.3744 Description Hydrogen embrittlement has been studied for over a century but understanding of the underlying mechanisms is still
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. The mechanisms by which cells transition from pluripotent to differentiated states is incompletely understood, and correlating measurable parameters to identify efficient culture conditions and release criteria
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color centers for novel quantum sensing and information processing applications at the single photon level. Applicants should have experience in one or more of the following areas: nanofabrication
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been in development over the past 15+ years and their capabilities have grown significantly. An important effort within the LPBF community is the use of high-fidelity multiphysics models to predict melt
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. The capabilities of single-photon detectors have a major impact on what is and is not feasible in developing new quantum technologies. We are interested in expanding the capabilities of single-photon detectors, and
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material properties and evolves as a function of deformation. Accurate measurement of the crystallographic texture is the key to understanding how the material will respond during forming of parts
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limited output of these devices is well suited to measuring long open-air paths and the combs themselves are becoming robust, compact, and transportable. Here we seek to employ frequency combs
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scattering is routinely used to study solutions and surface adsorption of biomacromolecules. Neutrons are particularly well suited to study biological materials because of their sensitivity to light
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conversion, and four-wave mixing. However, careful characterization of these components that is traceable to classical radiometric techniques can be very challenging. Research opportunities include improving