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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. In addition, the University of Toronto Scarborough is implementing its
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to prepare them for a continued career in the biopharmaceutical industry. What is Medical Affairs? At Biogen, the mission of Worldwide Medical is to inform real-world medical practice and improve patient
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the research functions in Structural and Earthquake Engineering. The Research Associate will be responsible for the following duties: Developing earthquake-resilient components and systems Planning and executing
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Learners Curriculum and Instruction: Ed Psych & Couns (Inclusive) : Inclusion debates; review of the evolution of the history of inclusive education; models of development ( eco-systemic models
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 16 hours ago
have teaching experience in a degree-granting program, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Additionally, candidates must
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valued pension plan, faculty members also have access to a comprehensive range of leaves, services, resources and career development opportunities. For more information, please visit: https://hr.ubc.ca
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(SEM) and to prepare specimens for viewing under the TEM and SEM. Nature of Work: This position reports to the manager of the WCVM Imaging Centre. The Technician works in the WCVM Imaging Centre as
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process by international reviewers. The candidates will be informed about the decision around mid-February 2025. Your Responsibilities Develop and implement your research project Build up your own research
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the British Columbia-based arm of a multiprovince project (the Joint Initiative to Support the Labour Market Integration of Internationally Educated Nurses). This project aims to develop a pan-Canadian
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data