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at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow
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to the Director of the Clinical Research Support Unit. Duties focus on computer-based quantitative analysis and reporting and are subject to multiple peak periods that may be stressful due to high volumes of work
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of Management in Analytics (MMA) is in search of multiple tutors for various courses across the program. Required skills in either or both of the streams below (specify which stream in your application
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frequent interruptions, multiple competing priorities and customer service interactions. This position requires strict attention to detail, accuracy and diplomacy in dealing with students, department staff
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, validating, and auditing data. Create technical design documents to communicate solutions that will be implemented by the development team. Facilitates and conducts design and code reviews for other Data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
not apply for multiple positions in one email. Please include your last name and the course code in the email subject line. No late applications will be accepted. Selections for positions are made by
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
Brian Price, Chair, Department of Visual Studies at dvsjobs@utoronto.ca An individual application is required for each job posting. Please do not apply for multiple positions in one email. Please include
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and Adobe Creative Suite (Photoshop, InDesign, Illustrator, etc.) Familiarity with HTML or basic web coding Confident in writing content that is clear, engaging, and meets the needs of its audience
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applicable laws, regulations and codes; and develop and implement programs and standards for the protection, safety and security of University property and in all University activities. Deliver or support the
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based