313 web-development-"https:"-"https:"-"https:"-"Linnaeus-University" positions at NIST
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research in high-impact science and engineering fields that utilize vapors, liquids, and aerosols. Our experimental scientists focus on developing fundamental measurements and novel methodologies that can
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Sorbent materials are candidates for many industrial and sustainable development applications, including carbon capture, hydrogen and methane storage, gas separation and purification, and catalysis. However
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parameter space challenging due to the sheer number of possible compositions. To enable rational design of these materials, we have developed a highly adaptable sample environment that can be programmed
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seeks to develop the analytical capabilities and standards to support the measurement needs of the water measurement community and other governmental agencies that monitor and regulate water
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to understand dynamic changes within microbiomes or to design interventions (e.g., modeling algal blooms, improving human health or crop yields, bioremediation). This project seeks is to develop measurement
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modeling is the parametrization of the force field. There are a large number of force fields in existence and significant efforts are spent on their development and improvement. However, to-date, development
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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