352 information-security-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" positions at NIST
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in this opportunity address the problem of why it is that measurements that use different measuring principles "orthogonal measurements" sometimes return vastly different results. Problems of interest
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levels. Health care applications include screening for disease or exposure to toxins. Headspace analysis is a powerful measurement tool to characterize partitioning between blood and breath. We seek
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essential to many biological functions; however, it is still not clear how the bilayer structure, dynamics and functionalities are correlated. Our understanding is in part limited by experimental challenges
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and power consumption. There is particular emphasis on cooling from room temperature down to 2 Kelvin using pulse tube coolers developed using the thermoacoustic framework. There is also emphasis
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and are transforming biosciences and biotechnology. Yet, the translation of technologies requires greater measurement confidence underpinned by SRMs. Data produced by the NIST-led Genome in a Bottle
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NIST only participates in the February and August reviews. Microwave Microfluidics is an emerging measurement and analysis approach that can quantify thermo-physical properties of solutions within
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particles. These functional polyplex particles have numerous opportunities for the application of polymers in life science research.[1] There is much to learn concerning their mechanism of formation
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling, Analysis, and Uncertainty Quantification Location Information Technology Laboratory, Applied and
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daniel.sunday@nist.gov 301 975 4921 Description Conventional optical-based photolithography is reaching the limits of scaling for the patterning and fabrication of nanoscale devices. The semiconductor industry
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mechanical parts and assemblies (SolidWorks experience is preferable), experience with developing VI’s in LabVIEW, and experience with data and image processing (MATLAB experience preferable). [1] Huang, W