230 parallel-and-distributed-computing-phd positions at Oak Ridge National Laboratory
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with environmental, safety, health, and quality program requirements. Present work at conferences, workshops, and sponsor reviews. Provide technical field support and troubleshooting assistance
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Environments group in the Research Computing division, in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Cyber Risk Monitoring
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data science, statistics, nuclear engineering, and scientific computing to deliver high-impact research and solutions that address some of our nation's most challenging security threats. Major Duties
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Ridge National Laboratory (ORNL). This position resides in the AI Operations Program office within the Application Developement Division of the Information Technology Services Directorate. Our AI/ML
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success. Basic Qualifications: A PhD in civil, electrical, environmental, or mechanical engineering, or equivalent. A minimum of 1 years of experience in development and testing of algorithmic tools for non
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application
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joint institutes, joint facilities, interdisciplinary PhD programs, and comprehensive joint faculty arrangements, including 17 Governor’s Chairs recruited for the significance of their impacts in
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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all group projects, ensuring alignment with emerging industry and research trends. Drive the adoption of modern data technologies such as cloud-native architectures, distributed computing frameworks