449 computer-science-intern "https:" "https:" "https:" "https:" "University of Aveiro" positions at NIST
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RAP opportunity at National Institute of Standards and Technology NIST Combining Theory, Simulation, Machine Learning, and Autonomous Experiments for Industrial Formulation Discovery Location
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-adoption, etc). A successful applicant would have the opportunity to lead research workstreams, write papers, and engage with AI and measurement science experts from across CAISI and NIST. The artificial
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RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Adaptive Molecular Crystals for Gas Adsorption and Storage Location NIST Center for Neutron Research
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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 Experimental Thermodynamic Properties of Fluids Location Material Measurement Laboratory, Applied Chemicals and Materials
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Metrology for Quasi-Optical Wireless Probing of Monolithic Microwave Integrated Circuits NIST only participates in the February and August reviews. Ultrafast electronic devices with fundamental operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio...
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characterization, microstructural analysis, modeling, and/or data science to reach out and apply, as a variety of perspectives will be invaluable in advancing our understanding of material behavior and design. We
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RAP opportunity at National Institute of Standards and Technology NIST Advanced Vibrational Spectroscopy of Higher Order Structures of Protein Location Material Measurement Laboratory
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NIST only participates in the February and August reviews. The chemical characterization of biomolecules and the measurement of their interactions at low copy numbers are critical for applications in biomanufacturing and personalized medicine. We are developing new electronics techniques that...
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-based and data-driven prediction models are often impractical for operational use due to unrealistic assumptions, limited data availability, and prohibitive computational costs. To address