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-performance computing equipment. Learn more about why McGill is an exciting place to work: https://www.mcgill.ca/careers/why-mcgill Under the direction of the Bioinformatics Manager, the Bioinformatics Analyst
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Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Bioinformatics
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-performance computing equipment. Learn more about why McGill is an exciting place to work: https://www.mcgill.ca/careers/why-mcgill Under the supervision of the Bioinformatics Manager, the Bioinformatics
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Pathology Full Time 88528BR Job Summary Under direct supervision, this Bioinformatics Programmer applies professional bioinformatics concepts and computational procedures to complete small projects
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The Bioinformatics Assistant will provide computational and software development support to the Laboratory of Host-Pathogen Biology, including development and maintenance of data analysis pipelines, web applications
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Biology The Department of Laboratory Medicine At present, the institute has about 315 employees and approximately 450 million SEK in total assets Subject area Bioinformatics and cancer genetics Subject area
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: The Canadian Center for Computational Genomics (C3G) is a bioinformatics core facility that offers bioinformatics services supporting the McGill Genome Centre and the wider genomics community. Within C3G
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research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics. The role will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, bulk RNA
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care services for large and small animals. What You'll Do This is a Bioinformatics Technician position in a translational cancer genomics research laboratory that supports comparative clinical trials in
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Anatomy Full Time 88327BR Job Summary Under direct supervision, Bioinformatics Programmer applies machine learning and artificial intelligence (AI) concepts for the analysis of large scale genomics