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: Develop scientific research in advanced reactor physics modeling and simulation as well as cross section processing through novel methods and algorithm design. Contribute to new reactor physics and cross
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algorithms. An understanding of when to apply what data-driven approach, from statistical techniques to generative AI models. Experience working with DOE National Laboratories (or similar R&D organizations
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relationships through active participation in professional societies. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever
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embedded controllers. Experience in evaluating converter topologies, developing control algorithms, and writing controller code is expected. Major Duties/Responsibilities: Conduct R&D projects and help
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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advanced sensing and controls algorithms for manufacturing Communicate research results through presentations, reports, conference papers, and peer-reviewed journals Deliver ORNL’s mission by aligning
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validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org
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manage complex technical projects across multiple organizations. Collaborate with procedure owners to implement documents effectively. Develop, manage, process, and maintain Radiological Protection
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requires a solid understanding of TEMPEST principles, excellent problem-solving skills, and the ability to communicate effectively with both technical and non-technical personnel across multiple facilities
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in peer-reviewed journals in a timely manner Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing