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Ravel [email protected] 631.344.3613 Description Develop methods of applying machine learning and artificial intelligence to synchrotron experimentation. This opportunity will be focused on operations
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develop an over-the-air metrology tool for generating and assessing waveform signatures. If successful this research will help to enable new hardware security tests based on physical measurements
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components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock
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materials and in the overall conductive properties of these polymer nanocomposites containing these networks. Our objective is to develop metrologies to understand how morphology and functionalization affect
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NIST only participates in the February and August reviews. The U.S. economy depends on manufacturing as a significant contributor for jobs, the nation’s economic output, and the production of goods
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301.975.6523 Li-Piin Sung [email protected] 301.975.6737 Description The purpose of this research is to develop advanced characterization techniques for physical and chemical properties in the complex engineered
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Description Research opportunities are available to develop and advance measurement methods required for current and future semiconductor manufacturing processes. Areas of particular interest include
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proposals to develop, optimize and deploy a headspace collection method to measure partition coefficients at physiological temperatures. We are especially interested in methods that target molecules
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data using a multitaper spectral analysis approach [2]. The fundamental methodology around frequency stability analysis of clock data hasn’t been revisited in decades; our goal is to develop a suite of
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to develop and test methods and reference/proficiency test materials to enhance the accuracy/reliability and uncertainty of the methods and accordingly the interpretation and application of isotope metallomics