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, postdocs, and students in advanced optical characterization techniques while contributing to the broader scientific community through workshops and collaborative research initiatives. Deliver ORNL’s mission
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analysis, documentation, reporting, and knowledge integration, consistent with data security and regulatory requirements. Experience using statistical software and relational database management tools with
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existing AI/ML workflows/efforts. Lead by example through exercising research integrity in proposing, performing, and communicating best practices for AI, ML, and software engineering. Lead by example
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and established procedures. Working with other ORNL personnel supporting physical pick-up and movement of waste from waste generating locations across the Laboratory to defined waste accumulation and
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, career fairs, conferences, and professional organizations to strengthen employer brand and expand talent networks. Leverage diverse sourcing channels including social media, professional networks, academic
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infrastructure systems, including servers, storage, virtualization, and network-connected services, to ensure performance, availability, and reliability. Respond to alerts and incidents by following established
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). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network
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systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications
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with our partners and sponsors. Research activities include, but are not limited to: Rapid prototyping and evaluation of experimental systems, including hardware, software, tools, and applications, and
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-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date