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Field
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distinct individuals with varied interests, needs, and abilities. Salary based on course contract. Campus varies. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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available. Salary based on course contract. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 days ago
and relevant work experience. Preferred Education Skills and Experience: Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
. Preferred Education, Knowledge, Skills and Experience Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems, or scientific applications
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systems, parallel computing, batch/scheduling systems; 4) Programming languages such as C, C++, bash, Perl, etc.; 5) Source control systems such at Git; 6) Log correlation software such as Sumologic; 7
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. Basic understanding of parallel programming concepts (e.g., multi-threading, concurrency). Ability to work effectively in a collaborative, interdisciplinary team environment. Preferred background: Ph.D
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approaches include MHD, Vlasov, and hybrid codes run on computers ranging from PCs to massively parallel computers, while analytical work involves linear and nonlinear instability theories. Location: Goddard
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systems (e.g., Git) and collaborative software development workflows. Familiarity with Linux/Unix environments and modern development tools. Basic understanding of parallel programming concepts (e.g., multi
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. Basic understanding of parallel programming concepts (e.g., multi-threading, concurrency). Ability to work effectively in a collaborative, interdisciplinary team environment. Preferred background: Ph.D