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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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RAP opportunity at National Institute of Standards and Technology NIST Experimental and Numerical Assessment of Degrading Reinforced Concrete Structures Location Engineering Laboratory
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Computational Methods for NMR Structural Biology and Biomanufacturing of Protein and Live Cell Therapeutics NIST only participates in the February and August reviews. Protein therapeutics
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RAP opportunity at National Institute of Standards and Technology NIST Compressive Sensing Methods for Electron Microscopy and Microanalysis Location Material Measurement Laboratory, Materials
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RAP opportunity at National Institute of Standards and Technology NIST Advanced Methods for Measuring Microbial Viability Location Material Measurement Laboratory, Biosystems and Biomaterials
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properties, facilitating the development of accurate standard tests and predictive methods, and their safe use at full-scale. key words Laminar burning velocity; Refrigerant flammability; Numerical flame
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correlations and prediction methods. The program will build on our existing efforts using Quantitative Structure-Property Relationship (QSPR) methodologies and modern machine learning methods (support vector
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these complex communities by developing sample preparation techniques that are compatible with NMR and mass spectrometry-based techniques. This will allow parallel multimodal analysis including proteomic
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substances in a wide pressure and temperature ranges). We also possess significant computational resources necessary for successful implementation of molecular simulations and machine learning methods
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are developing high order integral equation methods and numerical tools for computational electromagnetics. This research focuses on the frequency domain electromagnetic field solvers that involve automatic