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RAP opportunity at National Institute of Standards and Technology NIST Designing Liquid Scintillators for Optimal Light Yield, Pulse Shape Discrimination, and Neutron Sensitivity
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identification of spectral features by computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular
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RAP opportunity at National Institute of Standards and Technology NIST Differentiation of Analytical and Biological Variability in Metabolomics using Standard Reference Materials and
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RAP opportunity at National Institute of Standards and Technology NIST Computational Metrology for Systems Biology and Medicine Location Information Technology Laboratory, Software and Systems
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RAP opportunity at National Institute of Standards and Technology NIST Microfluidics and Lab-on-a-Chip Technologies for Controlled Molecular Self-Assembly, Analytical Biochemistry, and
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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RAP opportunity at National Institute of Standards and Technology NIST Metrology and Prototyping of Wide-Bandgap Semiconductor Quantum Nanowire Structures and Devices Location Physical
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RAP opportunity at National Institute of Standards and Technology NIST Microwave Polarimetry: Precision Measurements for Cosmological Physics Location Physical Measurement Laboratory, Applied
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. This problem becomes even more pressing for simultaneous multi-qubit operations. The goal of this project is to develop software tools for the automated tuning of high-fidelity readout and gates in silicon spin
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RAP opportunity at National Institute of Standards and Technology NIST Advanced Instrumentation for Fundamental Electrical Measurements Location Physical Measurement Laboratory, Quantum