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of climate simulations, analysis, and data transformation into relevant metrics suitable for socioeconomic climate risk analytics and decision science. The ideal candidate should have a deep understanding of
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the implementation various solid state analytical approaches and data analysis techniques to provide actionable information in support of a number of radioisotope production programs here at ORNL. Established in 2020
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, and radioactive materials localization capabilities to support nuclear security missions. The research involves development and testing of novel data analytics processes and specialized algorithms
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-scale biomedical informatics to build high performance computing tools for healthcare needs. This group creates scalable AI and machine-learning solutions for multidimensional, multimodal data in HPC
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data assimilation Advanced analytics of vehicle components/systems and ecosystems/operations/energy optimizations in freight mobility systems or networks providing recommendations on when/where
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analysis methods, applying (bio)geochemical models, and the analysis of kinetic data are desired. Strong analytical and problem-solving skills, oral and written communication skills are required
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by encouraging a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: You must have earned a MS (PhD is preferred but not required) in
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resiliency, data analytics, geospatial S&T, and high-performance computing for sensitive national security missions. We draw on the Laboratory’s outstanding facilities and work closely with leading researchers
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resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We draw on the Laboratory’s exceptional
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, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: You must have a PhD in Mechanical Engineering