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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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training the next generation of imaging scientists. The department continues to strengthen its educational programs through a comprehensive portfolio of residencies and subspecialty fellowships, supporting a
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. The department continues to strengthen its educational programs through a comprehensive portfolio of residencies and subspecialty fellowships, supporting a diverse pathway for trainees and reinforcing its
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CIE is strengthening its role in discovery, education, and training the next generation of imaging scientists. The department continues to strengthen its educational programs through a comprehensive
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team science, the CIE is strengthening its role in discovery, education, and training the next generation of imaging scientists. The department continues to strengthen its educational programs through a
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. The department continues to strengthen its educational programs through a comprehensive portfolio of residencies and subspecialty fellowships, supporting a diverse pathway for trainees and reinforcing its
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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science
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initiative integrates innovative programs in health-system–scale genome-informed care; clinical natural language processing and large language models for clinical data capture and communication; and hospital
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, with experience in additional languages such as Fortran considered a plus. Strong knowledge of at least one parallel programming model commonly used in HPC, such as MPI, OpenMP/OpenACC, CUDA, HIP, Kokkos