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systems and genetics. The successful candidate will be part of the Synthetic Biology section (https://www.ornl.gov/group/synthetic-biology ) and will contribute to a Laboratory Directed Research and
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(MPEX), a high-flux superconducting linear plasma facility nearing completion at ORNL. The candidate will utilize state-of-the-art 3D plasma boundary simulation tools as part of the MPEX Whole-Device
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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand algorithmic intent, architectural
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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: To be
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. Represent ORNL and the Learning Systems Group by giving talks at public forums (conferences, workshops, guest lectures, etc.). Basic Requirements: Ph.D. in Computer Engineering, Electrical Engineering
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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simulations in fusion devices. Support coordinated multi-physics simulations of fission reactor core, fusion device blankets, and other system components. Develop reduced-order calibration approaches and apply
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically