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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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demonstrated ability to comprehend and communicate detailed technical, legal, and policy information. Must have proven interpersonal relations skill to create necessary bridges between perspectives of various
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results to stakeholders (e.g., DOE, NHTSA). Collaborate cross-functionally with domain experts in mobility systems, controls, and data science to ensure model fidelity, reproducibility, and actionable
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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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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
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Requisition Id 15894 Overview: The Radiological Engineer position resides within the Isotope and Material Sciences (IMS) group within the Nuclear and Radiation Protection Division (NRPD