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. This problem becomes even more pressing for simultaneous multi-qubit operations. The goal of this project is to develop software tools for the automated tuning of high-fidelity readout and gates in silicon spin
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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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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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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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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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this opportunity, we will investigate the electronic properties of candidate quantum materials or organic (molecular) semiconductors. We will use and develop measurement approaches to determine key electronic
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to develop integrated microfluidic and optofluidic lab-on-a-chip devices that advance the measurement of physical, chemical, or biological phenomena in fluids at the macroscale. Application areas include
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, and light-matter interactions. This research opportunity is focused on developing compact, integrated cavity optomechanical devices that push the state of the art in terms of sensitivity and accuracy
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to the sub-nanometer scale regime. Our goal is to leverage our access to state-of-art X-ray and neutron facilities to develop and apply operando measurement methods that can quantify full three-dimensional