176 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory
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analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine
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Expertise in machine learning and big data analysis Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively in collaborative
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of agentic AI for science, scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models, in the context of leadership scientific workflows and
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, Computer Engineering, Computational Engineering, or a closely related field. At least 2 years of experience working with Linux-based systems; familiarity with core utilities and managed services such as
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
ML concepts and architectures and hands-on experience with open-source AI/ML packages (such as pytorch, scikit-learn, tensorflow, JAX etc.). Preferred Qualifications: Good grasp of concepts in solid
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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic
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systems (e.g., Swagelok or similar tube fitting experience). Experience with electronics/electrical devices, i.e., soldering and wiring skills, use of multimeter. Basic machine shop experience (drill press
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response to upset conditions in the data centers. Operators are trained to the Computational Science Building Computer Center Operations Emergency Response Plan and Emergency Response Checklists. Upset
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and