244 data-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory in United States
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, data centers, , office, etc.), and full scope of operational services (maintenance, janitorial, construction, fabrication, logistical, etc.). Responsible for stewarding the laboratory’s emergency
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development teams Basic Qualifications: A Bachelor's degree in Computer Science, Electrical or Computer Engineering, or other field relevant to the job duties. Competency in Python and C++ programming Ability
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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data connectivity. This role ensures that all changes to control configurations, communications pathways, or system integrations are made in accordance with Industrial Control System / Operational
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the production of intelligence information. Major Duties/Responsibilities: Conducts administrative investigations on incidents involving suspected or identified foreign intelligence activities: Conducts
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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of risks or blockers and ensure they are documented in the project's risk log for Project Lead’s review and action. Information Management : Maintain organized and accurate project documentation, serving as
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High