50 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "DIFFER" positions at NIST
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of biological sample preparation methods compatible with NMR and mass spectrometry-based techniques for assessing profiles and relative differences between samples and computational/bioinformatics principles
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operations of Josephson junctions (JJs). Active areas of interest include interfacing these two dissimilar systems with electro-optics ( i.e. superconducting microwave cavity) or strain ( i.e. surface acoustic
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. This interdisciplinary research uses many different techniques of interface preparation and characterization, and involves scientists from several NIST divisions. Resources: Several femtosecond and picosecond laser
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called the Fire Dynamics Simulator (FDS) . FDS is a block structured Cartesian LES code for low-speed flow which uses a high-order cutcell-immersed boundary method for complex geometry and is specifically
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experiments that accurately predict changes in flow meter performance for different fluids, and (4) development of flow measurement techniques to provide low uncertainty measurement of smokestack green house
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Description Combining organic monolayers with semiconductor surfaces is of interest for many differing applications including molecular electronics, sensors, and bio-electronics. Monolayers on semiconductor
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, leading to significant differences between methods. NIST has world-class facilities in neutron, magnetic, X-ray, and electron techniques to investigate these methods; compare between different methods; and
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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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on but is not limited to the following areas: (1) security analysis on the existing lightweight cryptography algorithms, (2) performance measurements for different algorithms on different platforms with
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. Metagenomics is able to evaluate the presence of different taxa or specific genes while transcriptomics is able to define levels of gene expression, but proteomics seeks to identify and measure the translated