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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009866 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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. Strong organizational skills and the ability to manage multiple cohorts in parallel while maintaining quality and compliance. Comfort with data entry, tracking, and reporting for program metrics and gift
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat
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and university-parallel/college transfer programs. Central Virginia Community College (CVCC) is seeking a highly organized, detail-oriented Administrative Coordinator to support the operations
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minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
experience. Experience with shared memory parallel programming. Experience with Python or R, particularly working in multi-user environment. Proficiency with a high-level programming language such as Python
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capstone projects is preferred. Knowledge of parallel computing frameworks such as Apache Spark used in the program is desired. Strong understanding of data management, data processing, and data