44 parallel-computing-numerical-methods-"Institute-of-Computer-Science" PhD positions at NIST
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Neuromorphic Computing and Artificial Intelligence Hardware Location Physical Measurement
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been applied to cells, tissues, and biomaterials. Our interest in further development is two-fold: (1) Numerical processing and analysis methods for extraction of actionable information from the rich
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Adsorption Science to Enable Sustainable Development Location Material Measurement Laboratory
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Hydration of polymer dielectrics Location Material Measurement Laboratory, Materials Science
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Autonomous experimentation and machine learning of material properties Location Material
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Advancing State-of-the-Art Material Phase and Crystallographic Texture Characterization
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Atomistic Modeling of Phonons in Nanodiamonds and other Nanomaterials Location Material
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization Location