321 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at NIST in United States
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thomas.forbes@nist.gov 301.975.2111 Edward Ryan Sisco edward.sisco@nist.gov 301 975 2093 Description This opportunity focuses on developing and measuring the capabilities of ambient ionization mass spectrometry
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DeCost brian.decost@nist.gov 301.975.5160 Description Trustability and physical interpretability are critical requirements for the development of robust and sustainable machine learning systems needed
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such as PET-MR or MR-US have unique challenges when developing quantitative imaging protocols. In addition, the program has a focus on techniques that challenge the current methodology of MRI. Techniques
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remain undiscovered. We are interested in developing new approaches (e.g., engineered microenvironments, mixed species cultures) for expanding microbial culture capabilities, as well as evaluating culture
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reactions related to energy transformation, advanced manufacturing, security, and the environment. Projects focus on the development and application of real-time, in-situ, advanced measurement capabilities
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) and superconductors (WSi, MoSi, NbTiN) for single-photon detectors, all of which are developed at NIST. In addition to device processing and electrical and optical characterization, we are interested in
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these challenges, the Fire Research Division of NIST’s Engineering Laboratory is developing the next generation of AI-enabled firefighting decision-support systems. Our goal is to deliver real-time, computationally
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-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific visualization, and data analysis. key words Buoyancy
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are developing the next-generation deployable, calibration-free Doppler thermometers. The Doppler broadening of spectral lines relates gas temperature to SI-defining physical constants and immutable gas
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to this information offers unique possibilities for the development and validation of the next generation of models of molecular interface formation on multiple scales, ranging from molecular dynamics simulations