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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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serves as a strategic research leader at the intersection of advanced computing systems, storage architectures, and high-performance networking. The successful candidate will lead collaborations with other
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, nuclear material tracking systems, and modeling and simulation tools that inform operational decision-making and policy. The Division collaborates extensively across ORNL and the broader DOE complex
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collection systems, from design through fabrication to deployment and operation. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
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, organizational engagement, learning experience coordination, and cross-functional collaboration. The role will work closely with the HR Business Partners, managers, Office of General Counsel, Employee Concerns
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, prioritization of tasks, interpretation of results, troubleshooting, and development of next-step strategies. Collaborate effectively with scientists across disciplines while independently advancing assigned
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of principal investigators with new and existing projects. In this role, the selected candidate will interact with, support, and collaborate with a diverse multi-disciplinary team of research professionals
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also work collaboratively with other national laboratories, industry and academic partners, and the international community to execute projects. The successful candidate is expected to demonstrate a
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ensure the safe, efficient, and effective operation of chemical synthesis and characterization facilities while fostering a collaborative and service-oriented research environment. The ideal candidate will
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collaboratively across the laboratory, with effective facilitation and training skills in a fast-paced operations and research environment. Technical background in conduct of operations, quality assurance