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in the presence of controlled spin baths. The candidate will measure and manipulate single- and ensemble-spin defects at temperatures of 50 mK-350 K and at fields of up to 15 T with a particular
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needs Export control, no clearance: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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needs Export control, no clearance: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export
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atomic vibrations control energy transport and functionality and (2) develop an understanding of scattering–elasticity relationships in quantum and magnetic materials. Research thrusts for the position may
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from plant genomics to phenomics with biological mechanisms embedded in deep neutral networks. GPTgp will allow task-specific training and transfer learning across reactions, pathways, biodesigns, and
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available for this position. Export control, no clearance: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access
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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
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for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
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research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector