227 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Toronto
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and applications in health services research, management and policy Past teaching experience related to quantitative methods Prior experience in curriculum development and adult teaching-learning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 days ago
more relevant criterion than the need to acquire experience in respect of this posted position. Closing Date: 09/04/2026, 11:59PM EDT ** This job is posted in accordance with the CUPE 3902 Unit 3
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teaching, learning, and research requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly
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communications, and trust-building. The Centre will leverage its expertise in higher learning, pedagogy and education scholarship to develop, scale and support curricular interventions that equip experts with
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strong commitment to research work with a strong commitment to accuracy and attention to detail Client-services oriented with demonstrated listening and critical thinking skills with the ability to learn
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and Sharepoint Fostering and maintaining positive relations with stakeholders to support student placement activities; scheduling and assigning students to external learning opportunities Coordinating
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achieve their full potential. Learn more: www.pharmacy.utoronto.ca Your opportunity: Reporting to the Director, Academic Administrative Services and to the Associate Dean, Academic, the incumbent is
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: Yes Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while
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discreet manner. Knowledge and understanding of equity, diversity, and inclusion. Ability to learn and adapt quickly as new technologies are introduced. To be successful in this role you will be: Accountable
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tools such as machine learning, process automation, predictive/preventive analytics and artificial intelligence. This course is designed to demystify the evaluation process and give you the tools that you