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Field
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you will be doing: As a Postdoctoral Fellow, you will be part of a project funded by the National Institutes of Health within the BRAIN CONNECTS programme, led by Schaefer with Chris Jacobsen
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good programming skills in either Matlab or Python and the willingness to program in both languages. Programming experience in C++ is benefical as is experience with CUDA/parallelization (OpenMP
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Mathematics, or a related field, awarded within the last five years Programming experience in one or more of Python, C++, Fortran, or Julia Knowledge of high-performance and parallel computing Experience
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and
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of scientific activities (1 conference, 1 research school, 1 or 2 workshops, 2 paired research projects + any other parallel activities such as Masterclasses, FRUMAM conferences, etc.). It is organized
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, to analyze performance, improve portability and reliability, and bring new workflow capabilities to thousands of users across DOE Office of Science programs. What You Will Do: Contribute to one or more NESAP
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Readiness team as part of NERSC’s Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will