237 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "LaTIM Brest" positions at NIST
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of fit for purpose high-quality reference materials that can be used to help normalize and benchmark data from the various EV isolation and characterization methods is a key bottle-neck inhibiting
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Laboratory, Materials Measurement Science Division opportunity location 50.64.31.C0344 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Thomas P Forbes
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, Science 368 (2020) 521–526. https://doi.org/10.1126/science.aaz7681 . 3. F. Zhang, R. A. Maier, I. Levin, A.J. Allen, J. S. Park, P. Kenesei, I. Kuzmenko, In situ probing of interfacial roughness and
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NIST only participates in the February and August reviews. The Alternative Computing Group at NIST has an ongoing program developing new metrologies to support emerging information processing
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even several million atoms on an ordinary computer. It links the different length scales smoothly and seamlessly.Such a model should be useful for many industrial applications of nanodiamnds
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for data-driven (machine learning / artificial intelligence) applications. References Hoogerheide, D. P. et al. Structural features and lipid binding domain of tubulin on biomimetic mitochondrial membranes
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quality (p, ρ, T) measurements from 200 – 505 K, with pressures to 40 MPa. The speed of sound is a property that yields very powerful data for developing fluid equations of state (EOS), and we have two
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We develop and utilize state-of-the-art experimental and computational techniques to acquire, evaluate, and correlate thermodynamic data of standard reference quality with a particular emphasis on
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differentiation, data describing the changes in gene expression at the single cell level are needed. In this project, quantitative live cell imaging and image analysis will be used to follow gene expression
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systems. This work will specifically focus on combining ML algorithms with classical data analysis and control techniques to develop robust in situ (i.e., in real-time, during the operating experiment