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existing tools and databases into high-throughput pipelines, and facilitate the display and the distribution of processed data. Related projects and responsibilities will include: Statistical analyses
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with compiler level languages, accelerated computing (preferably with OpenMP or OpenACC) and distributed computing (MPI). A thorough understanding of the particle-in-cell algorithm, its inherent
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control systems, especially EPICS. Familiarity with synchrotron light science (e.g., ALS) preferred. Experienced in RF technology, magnetics, distributed controls, and algorithm design. Strong academic
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to be in alignment with the program goals and activities to share information and ensure compliance with the data distribution. Work Hours: Monday – Friday – 8:00 – 5:00. Primary Function
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
involves integration with cloud services, distributed storage networks, and the dedicated computing cluster supporting Array operations. The Data Production Engineer will bring the real-time analysis
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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according to scheduling algorithms, patients' medical history and established clinical and facility standards. Coordinate both procedures and ancillary visits within a specific period established for each
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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the horse racing and equestrian industries. • Track social platform updates and algorithm shifts to optimize content performance. • Manage digital assets and relationships with in-kind sponsors and brand