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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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neutron scattering experiments Analyze data from scattering experiments Work with others to maintain a high level of scientific productivity Publish scientific papers in key journals and present at key
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Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems Experience in analyzing data from scattering experiments Work with others to maintain a
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems
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the data science, process analytical technology, and chemical processing domains to address technology challenges for raidoistoope production and application. Major Duties/Rsponsibilities: Perform
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including tensile, fatigue, creep, impact, and nanoindentation testing. Analyze lattice strain evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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devices. Proficiency in surface and interface characterization using atomic force microscopy. Experience in materials characterization techniques such as Raman and scanning electron microscopy. Data
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principal investigators in writing proposals for new projects Adhere to requirements for protecting proprietary or sensitive information and follow ORNL cybersecurity policies and guidelines Basic