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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
accounting concepts, financial statement preparation and analysis, internal control and management information systems, budgeting and programming, cash and resource management, and various tax-related issues
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regarding accommodations or accessibility during the recruitment and hiring process or for more information and support, please visit UBC’s Centre for Workplace Accessibility website at https://hr.ubc.ca
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data analysis - Have experience with writing and supporting the development of literature reviews - Have experience with research writing support and providing quality feedback - Have experience
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data analysis - Have experience with writing and supporting the development of literature reviews - Have experience with research writing support and providing quality feedback - Have experience
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
analysis, computer vision or artificial intelligence, have at least 5 years of practical or research experience in AI, have a prior publication record as first or senior author in AI and prior experience
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, welcoming and informal community that places a high priority on student support services and encourages diversity. For more information on New College, see http://www.newcollege.utoronto.ca. Your opportunity
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digital records management systems is an asset ● Proficiency in standard computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis is an asset ● Strong
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:59pm EST Course number and title: MMG3004Y: Communication of Genetic Information Course description: This one-term graduate course is offered within the MHSc Medical Genomics program, and is restricted
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of graduate student data, provide analysis and interpretation of student data for academic leadership and contribute expert advice in cases relating to privacy protection and data governance. This position
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. The applicant must also have experience with computational pipelines for sequencing data analysis, and using command-line programs and R packages. Description of duties: The course is structured as three weekly