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RAP opportunity at National Institute of Standards and Technology NIST Atomic Clocks and Wavelength References on a Chip Location Physical Measurement Laboratory, Time and Frequency Division
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advantage of associated particle separations, physical characterization, and chemical analysis. Projects incorporating machine learning and chemometric approaches are also welcome. We are seeking independent
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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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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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the work of collaborators engaged in experimental studies of the additive process itself and in detailed characterization of the microstructures, residual stresses, and ultimate properties using synchrotron
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RAP opportunity at National Institute of Standards and Technology NIST Advanced X-ray Fundamental Parameters Location Physical Measurement Laboratory, Radiation Physics Division opportunity
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RAP opportunity at National Institute of Standards and Technology NIST Label-free Optical Medical Imaging Location Physical Measurement Laboratory, Applied Physics Division opportunity location
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on the initial crystallographic texture and uniaxial stress-strain data, thereby predicting the evolution of the yield surface in multi-axial tensile space for a real specimen. Computed constitutive models will be
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measurement platforms using present and next generation electron microscopes. If you are a creative individual and can imagine what “can be” given the data richness of our program, we invite you to apply and
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bioassays to measure variations found within biofilms and to determine the effects of the underlying substratum on the biofilm chemical and physical structure. In addition, biofilms can be composed