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of the Blue Ridge Mountains. CVCC is a comprehensive two-year institution of higher education with an enrollment of approximately 5,000 students in occupational/technical programs and university-parallel
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occupational/technical programs and university-parallel/college transfer programs. Central Virginia Community College is seeking qualified individuals to serve as adjunct faculty in the Professional and Career
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and university-parallel/college transfer programs. Central Virginia Community College is seeking qualified individuals to serve as adjunct faculty in the Arts and Sciences Division, teaching general
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based
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generation followed by imaging at the Imaging core, 3) RNA functional genomics with methods such as massively parallel reporter assays (MPRAs) followed by sequencing at the Genomics core, 4) experimental
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function as a coherent programme rather than as parallel projects. Day to day, you will chair consortium meetings, facilitate the weekly, biweekly and monthly catch-up meetings between all cohorts
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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical
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programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming paradigms such as MPI, OpenMP, OpenACC or equivalent technologies Experience with large-scale scientific software
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
’ of relevant experience; or an equivalent combination of education, training, and relevant experience. Experience with shared memory parallel programming. Experience with Python or R, particularly
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Shell scripts as well as expertise in the development of Graphical Processing Units including use of CUDA, OpenCL, HIP and GP parallelization. Knowledge and research experience with advanced molecular