125 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Oak Ridge National Laboratory
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic
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response to upset conditions in the data centers. Operators are trained to the Computational Science Building Computer Center Operations Emergency Response Plan and Emergency Response Checklists. Upset
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, and other small machines Material handling such as moving heavy furniture and other objects Maintaining roadways including but not limited to patching asphalt Performing minor work in support of other
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machine learning and high performance computing to help develop high-fidelity computational tools that are used for large-scale, physics-based simulations of fusion energy systems in partnership with
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research projects. Training & Outreach: Organize workshops, tutorials, and documentation to educate users on best practices. Foster a culture of collaboration, continuous learning, and technical excellence
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within the overall machine design. The team membership is cross-functional, including representatives from engineering, operations, manufacturing, quality, reliability, and any other necessary discipline
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, management assessments, event reporting, and lessons learned to support business operations and management system performance improvement. Interface with other Battelle and DOE National Laboratories
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communicate expectations, providing visibility of what successful looks like for roles within the group. Establish an environment where learning never stops, honest mistakes are treated as opportunities
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conferences, workshops, and collaborative meetings. Explore integration of advanced computational methods with NMR data analysis, including machine learning approaches for spectral interpretation. Basic
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, collaboration, inclusion and continuous learning. Stakeholder Engagement & Partnerships: Serve as the external interface for the center: liaise with sponsors (DOE, other federal agencies, industry, academia