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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
connector between parallel working groups involved in the new residence build, including internal project teams, external partners supporting operational readiness, and construction-related stakeholders
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intraoral techniques and demonstrate the proper use of X-ray equipment and digital imagery, e.g., methods to capture parallel and bisecting angles. Assist faculty with students’ clinical/laboratory
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indirect set-up, as well as leukemia blood, bone marrow, and solid tumor analysis. Additionally, responsibilities extend to method development-modification-parallel testing, collaboration on or independent
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, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including
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large research team. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel
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assemblers, and aligners. Experience with parallel computing and the analysis of high-throughput genomic datasets. Demonstrated proficiency with programming languages including Python, R, and their application
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occupational/technical programs and university-parallel/college transfer programs. Central Virginia Community College is seeking qualified individuals to serve as adjunct faculty in the Professional and Career
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are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of project management, collaboration management and efficiency
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-edge techniques with clinical sample analysis, develop novel animal models to conduct mechanistic studies with parallel patient sample analysis, and test preclinical innovative immunotherapy strategies
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management