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to develop a mechanistic understanding of deformation, strengthening, and failure in advanced alloys. The research will focus on integrating microstructure characterization, in situ diffraction techniques, and
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) advanced cooling solutions for energy systems; (3) thermal management for electronics and data centers; and (4) separation processes for building environments. Develop experimental setup, problem-solving
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materials via crystallography, thermal analysis, optical spectroscopy, imaging, and elemental analysis. Prepare technical reports, journal publications, and technical input for stakeholders Contribute
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility. The OLCF has the charge to develop and apply transformational computational science
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. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
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research on understanding condensed matters using neutron scattering. Major Duties/Responsibilities: Develop new sample environment at various neutron beamlines Perform pump-probe-enabled time-resolved
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temperature. You will use and help refine techniques developed at ORNL that estimate shear strength based on the brittle-to-ductile transition, hot hardness testing, spherical indentation, and other new pending
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. The selected candidates will conduct research in data science and AI to develop scalable, deployable methodologies to assess and to improve manufacturing quality, efficiency, and certification readiness
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process