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, polymer science, aerospace engineering, or a related discipline. Two years of post-PhD research or equivalent industrial R&D experience in polymer composites or advanced manufacturing Proven ability to lead
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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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. MSTD conducts world-leading research on metallic, ceramic, and composite materials for harsh environments with emphasis on materials for nuclear energy, fusion, combustion, space, transportation, and
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This position is partially supported by the University of Tennessee–Oak Ridge Innovation Institute (UT-ORII), and resides in the Composite Science and Technology Section in the Manufacturing Science Division (MSD
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of neutron irradiation on the mechanical and thermophysical properties of nuclear ceramics, composites, structural alloys, and related materials. Conduct detailed microstructural and defect characterization
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to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention. Intelligent and automated selection and composition of data and storage service capabilities and
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Materials & Manufacturing Technology Office (AMMTO) and Industrial Technologies Office (ITO) and cover the topics like smart manufacturing, additive manufacturing, carbon fiber and composites, energy-water