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Job Category Non Union Technicians and Research Assistants Job Title Clinical Research Coordinator Department Michael Cuccione Childhood Cancer Research Program | Department of Paediatrics Posting
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: Reporting to the Research Supervisor: -Assists with the design, implementation, and monitoring of the quality management system of the laboratory program. -Provides support through standardization and
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information at equipment and towel counters and by telephone re: facilities, schedules, memberships, fees, services and activities. Refers inquiries to other relevant program and/or service area as required. As
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Date Posted: 03/24/2026 Req ID: 47429 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto) Position Number: 00059314, 59315 Existing
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their ability to connect and consult with program stakeholders and work within a collaborative framework. They must develop evaluation measures to assess the effectiveness of the SDCP team’s work. Qualifications
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Michael Cuccione Childhood Cancer Research Program | Department of Paediatrics Compensation Range $4,567.04 - $5,385.67 CAD Monthly Posting End Date April 3, 2026 Note: Applications will be accepted until
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
and maintenance of an adequate stock of control parts required for carrying out a regular preventative maintenance program; h) Works with Assistant Manager, Building Operating Engineers, and Trades
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Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Title Clinical Research Coordinator Department Michael Cuccione Childhood Cancer Research Program | Department
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discipline. University degree or technical diploma in an IT-related discipline, preferably in Computer Science. Minimum of three years’ experience or the equivalent combination of education and experience
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning