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performance modeling capabilities that simultaneously consider multiple performance aspects, robust IAQ and other performance metrics, and measurement methods, sensors, and data to evaluate and verify building
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-sensitive focal plane arrays for use in CMB measurements. The sensor elements are superconducting transition-edge sensors that are read out by multiplexed SQUIDs. The research will involve the development
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the use of light to probe and drive optomechanical systems for use in practical sensors and fundamental quantum measurement science. Our primary current research direction involves the use of diffractive
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the development of superconducting devices such as transition-edge sensors and superconducting nanowire single photon detectors, as well as single photon sources based on quantum dots, spontaneous parametric down
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability
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signals Innovate new in-line signal processing, measurement data analysis algorithms, and data visualization techniques. Innovate and test new instrument types and measurement methods, Work with commercial
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or algorithms for detection of the drug signal in complex mass spectral data and chemometrics for identification or classification of drug(s) is also of high interest.Through this opportunity, collaboration with
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particle dynamics (CFPD), a fluid-particulate coupled algorithm, to (i) quantify breath device operation (i.e., species deposition, complex fluid flow) [1], (ii) guide experimental breath species collection
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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division
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on the precession of atomic spins in a alkali atom vapor cell have recently reached sensitivities comparable to the best superconducting magneti sensors. In addition, they can be made compact and low-power through