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augmented intelligent solutions for smart machine tools. For example, new methods may be developed for the monitoring of rotary or linear axes, ball screw preload and backlash, spindle performance, real-time
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for achieving recovery-based objectives, (3) computing the collapse risk of new and existing buildings and infrastructure systems, (3) developing improved nonlinear modeling capabilities to evaluate the response
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NIST only participates in the February and August reviews. More rigorous and advanced methods for the analysis of evidence are needed in forensic science and have been called for by the National
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Computational Mathematics Division opportunity location 50.77.11.C0256 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Paul Nathan Patrone paul.patrone
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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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NIST only participates in the February and August reviews. This research opportunity centers on advancing experimental measurement methods to quantify complexes formed between charge-altering
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specific cell types with minimal off-target effects, EVs are currently being investigated for their broad use as drug/gene delivery vehicles and as therapeutic agents in numerous disease types [2]. Robust
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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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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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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