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approach to facilitate acquisition solutions based on contracting experience and knowledge. Is fully qualified to serve as Team Leader at this level. Work is managed to ensure that assignments are completed
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Directorate. In this role, you will lead the development and application of physics-informed data science and machine learning approaches to support nuclear nonproliferation missions. The successful candidate
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Write software to support cutting edge research and facilitate Proof of Concept demonstrations Implement, evaluate, and enhance machine learning pipelines for cybersecurity applications Basic
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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programming. Incorporate feedback from compiler/runtime systems, including MLIR-based ecosystems (Mojo, Julia, Rust). Compiler Infrastructure & LLVM/MLIR Integration: Extend LLVM/MLIR pipelines to support AI
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. Provide quality assurance support using a risk‑based, graded approach throughout all project phases. Identify customer needs and help prioritize quality initiatives. Support development of project quality
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adhere to the standards. Perform field walk-downs and create as-built drawings of existing control systems at the SNS facility. Create new design drawing packages based on Rockwell Automation (Allen
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/Responsibilities: Platform Operations & Implementation Assist in day to day operations for on-premises and cloud-based Kubernetes clusters Develop and integrate critical components for networking, CI/CD tooling, OS
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and present thorough, scientific reports describing methods, materials, and conclusions based on modeling analyses. Develop and write proposals for innovative research and funding. Deliver ORNL’s
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team of scientists to develop in situ monitoring technologies for DED-based AM processes. Design, integrate, and deploy multi modal sensor systems (including but not limited to optical, thermal, acoustic