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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
Student Housing and Residence Life team member to join Community Developmennt as one of our Community Development Coordinators. If you are interested in supporting holistic student development in residence
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of its strategic priorities. Our department cultivates and sustains strong relationships with donors, global alumni and other community members. The Development Officer (DO) will be part of a team working
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practice-changing research, improve national standards of care, advance public policy, and prepare the next generations of physician-leaders in the field. With this position, you would be joining a dynamic
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rigorous academic program alongside ample opportunities to develop themselves personally and professionally. As the Alumni Engagement & Development Officer, you will be responsible for developing and
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research funding programs and to maximize the share of funding awarded to researchers. As the Research Development & Partnerships Officer reporting to the Assistant Director, International you will play a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
posted in accordance with the CUPE 3902 Unit 3 Collective Agreement Course: ENV311H5S: Environmental Issues in the Developing World (SSc) Description: The Earth is one, but the world is not. We all depend
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highly cited in computer science. Your opportunity: Under the leadership of and in close collaboration with the Computer Science Teaching Applications Program Lead, you will develop and support custom
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analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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matters pertaining to the development, maintenance and effectiveness of the core administrative management and student systems at the U of T. Included within these responsibilities are all central SAP
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on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing