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Field
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
project strategy while helping coordinate efforts across multiple parallel projects. We are seeking candidates who thrive in a fast-paced, innovation-driven environment and who are excited to work across
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to develop tools and strategies to support scholars and faculty, at a scope and scale that parallels the growth of Arizona State University. The ASU Library is a center of learning, exploration and discovery
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project management skills, with the ability to track and execute parallel workflows - Proven attention to detail in sample handling, labeling and record-keeping, ensuring full traceability and
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 20 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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topics, including points, lines, planes, angles, parallel and perpendicular lines, triangles, quadrilaterals, circles, prisms, pyramids, cylinders, congruence, similarity, special right triangles, and area
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, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
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. 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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School/College/Programs. Uses performance marketing data and available research to create program-specific and college-wide strategic and targeted recruitment and outreach plans that parallel
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Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18 graduate hours in the discipline or subfield in which an individual is
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability