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that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address scientific discovery, technology and national
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of the candidates’ research. Basic Qualifications: Ph.D. in Mathematics, Statistics, Computer, Computational Sciences or a field relevant to the job duties of this position. Demonstrated record of peer-reviewed
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geospatial compute and data services, driving innovation at the intersection of computing and geospatial science, and advancing research outcomes across sponsors, disciplines and institutional partners
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physics, fusion research, life sciences, and materials science. Furthermore, these efforts to enhance data readiness for AI workflows may play a significant role in contributing to the goals of the 2025
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technologies techniques will be used to support and deepen domain insight, guide experiments, and accelerate scale-up. The role emphasizes tight coupling between materials science, chemistry, and manufacturing
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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
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students and contribute technical expertise to team projects aligned with ORNL’s strategic scientific goals. Basic Qualifications: Ph.D. in Computer Science, Data Science, Computational Science, or a
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success. Basic Qualifications: Bachelor’s degree in electrical engineering, physics, computer engineering, or related field A minimum of 5 years of relevant experience Preferred Qualifications: Master’s
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to perform science that is just not possible anywhere else. In return, and instead of charging for compute and data allocations, we ask these scientists to publish their work in open literature. If you are
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Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12