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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
in mechanical, chemical, materials, or electrical engineering, or a related discipline obtained within the last five years. A minimum of 3 years of experience in (a) design and operation of
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, DMA, TMA, XRD, rheology, twin-screw extruders, and electron and optical microscopy Design and execute experiments to characterize experiments to characterize new, innovative materials for a variety of
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will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
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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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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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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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committed team of scientists to develop composite pipe technologies for geothermal energy or similar harsh environment applications. Design, develop, fabricate, and test composite material in lab scale and
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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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/Responsibilities: The successful candidate will be responsible for conducting, coordinating, and reporting complex research assignments related to energy conversion systems including: Design and develop experimental
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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