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stages, advanced motion control, and instrument system integration. Research opportunities are available in the areas of design and analysis of MEMS sensors and actuators, micro- and nanofabrication, and
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broad range of applications, from piezoelectrics for actuation and sensors to thermoelectrics for energy harvesting, and tunable materials such as ferroelectrics and multiferroics for adaptable
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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RAP opportunity at National Institute of Standards and Technology NIST Deployable Doppler Broadening Thermometry Location Physical Measurement Laboratory, Sensor Science Division opportunity
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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Sonmez Turan meltem.turan@nist.gov 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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advanced machine learning models and physics-informed algorithms for analyzing high-speed XRD data, with a focus on identifying critical transformation windows and assessing phase evolution kinetics
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RAP opportunity at National Institute of Standards and Technology NIST Applications of Computational Optical Imaging Methods Location Physical Measurement Laboratory, Sensor Science Division
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smart electrical grid that increasingly relies on the use of intermittent renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position