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programming. Topics include computer instruction execution, instruction-level parallelism, memory system performance, task and data parallelism, parallel models (shared memory, message passing), synchronization
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Applications for this post will only be processed where you are a University of Glasgow student and have been given the vacancy number by your Local School Administrator. Demonstrator Job Purpose To
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
bioinformatics pipelines that support the processing and analysis of large research datasets. These tools help ensure that data are analyzed consistently, accurately, and efficiently, allowing researchers
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of those within the department, especially to team meetings. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high
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engineering A minimum of ten years of experience in developing software to support the PIR bioinformatics infrastructure for the UniProt project, including the parallelization, optimization and scaling
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and information science and technology to the organization, storage, analysis, modeling and visualization of complex biological data. Develops custom software and databases as needed. As a successful
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Research Scientist – Bioinformatics Analyst - 41252 Research Faculty Description University of Colorado Anschutz Department: Pediatrics, Section of Hematology, Oncology, and Bone Marrow Transplant
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Bioinformatics & AI Expertise Unit VIB–KU Leuven Center for Cancer Biology (CCB), Leuven, Belgium The VIB–KU Leuven Center for Cancer Biology (CCB ) is a leading research institute focused
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Location ST. LOUIS, MO 63108 Scheduled Hours 40 Position Summary This Bioinformatics Research Assistant is a dry-lab position and will play a key role in a collaborative team dedicated to uncovering
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) of human samples. Specifically, as a Bioinformatics Research Analyst, this job requires you to develop computer programs to meet the needs of data collection, quality control, analysis, and report generation