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single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate key distribution and management
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) methods for modeling and optimization of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical methods and uncertainty quantification. Follow
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, Mechanical Engineering or a related field completed within the last 5 years Experience in ceramics and brittle materials, experimental contact mechanics, and microstructural characterization This position
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neutron scattering experiments Analyze data from scattering experiments Work with others to maintain a high level of scientific productivity Publish scientific papers in key journals and present at key
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support the development of design rules for engineering microbes for energy and environmental applications. ORNL’s multidisciplinary research environment brings together expertise across biology
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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/Responsibilities: Participate in the design, implementation, and deployment of scalable AI/DL models for power grid systems, including surrogate models and foundation-model workflows for OPF and related grid
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Engineering, Materials Science, Materials Engineering, or a related discipline completed in the last five years. Strong hands-on experience in experimental research, including materials synthesis, device
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
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of analytics into production systems Knowledge of experimental design, uncertainty quantification, scientific machine learning, or digital twin methodologies Experience collaborating across national laboratories