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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties Location Material Measurement
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Development of Viscosity Prediction Methods Based on Molecular Parameters and Intermolecular Interaction for Organic Compounds NIST only participates in the February and August reviews
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with finite elements, in making statistical estimates, or simply in dealing with functions that are very difficult to handle. The comparability among the various techniques for numerical approximation
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods NIST only participates in the February and August reviews. Molecules vibrate with
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, transition metal-, transition-metal oxide and/or rare-earth thin-film multilayers, patterned arrays, and nanoparticles with possible technological applications such as spin electronics and cancer therapy
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NIST only participates in the February and August reviews. Project Description:NIST is developing a novel neutron interferometric phase imaging method using a grating-based, far-field interferometer
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NIST only participates in the February and August reviews. Nanoporous solids such as zeolites and metal-organic frameworks have wide applications in gas separation and storage, and have recently
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. Nondestructive methods such as Prompt Gamma Activation Analysis (PGAA) are well suited for multi-elemental analysis for bulk materials. The research will explore imaging of gamma ray emission by Compton scattering
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NIST only participates in the February and August reviews. Isotope metallomics is the coupling of elemental and isotope geochemistry techniques with the health and medical sciences. In the last two