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more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
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Based Management System (SBMS). Monitor and manage registrations for assigned course offerings. This includes determining if class-size warrants conducting or cancelling classes and keeping learners
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machine learning, deep learning, foundation models, agentic AI systems, graph neural networks, and knowledge‑graph–based reasoning. Familiarity with integrating AI into scientific workflows at scale
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, this position is considered remote-eligible for ORNL in pre-approved locations. Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs. Note about
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Systems are electronic safety interlock systems based on Programmable Logic Controller (PLC) technology. These systems protect personnel from unique hazards, mainly prompt ionizing radiation and oxygen
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thermomechanics. Major Duties/Responsibilities: Help to develop and apply physics-based and/or machine learning models for advanced manufacturing processes. Author peer reviewed papers for journals and conference
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(synchronization, channel estimation, interference mitigation, multi-user detection) to grid disturbance detection Develop RF-based drone detection and classification pipelines using IQ data and SDR platforms
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, national laboratory, or other research institution Strong interpersonal skills and an ability to work both independently and with all levels of researchers and scientific staff in a team-based environment
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, providing visibility of what successful looks like for roles within the group. Establish an environment where learning never stops, honest mistakes are treated as opportunities to learn, and challenges
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team