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analyzing and interpreting experimental data to drive product innovation, as well as obtaining and calibrating simulation parameters based on laboratory results. Regular interfacing between experimental and
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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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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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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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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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
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world