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leadership skills as they relate to this position but describe your vision for the program. If you wish to discuss this opportunity further, please contact the Department Division Director Dr. Eitan Amir
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opportunity to thrive in their careers. We hold the vision that University of Toronto students and alumni experience and contribute to a more equitable and just world of work. In this work we strive to live the
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architecture stakeholders to ensure that development of applications and solutions provide optimal business value, enhance future-oriented technology vision and ensure compliance with institutional standards and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 3 hours ago
. YOUR OPPORTUNITY: Reporting to the Associate Director, Space and Program Planning, the Senior Facilities Planner plays a pivotal role in shaping the physical, academic, and operational future of the
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 3 hours ago
& Petitions on enhancements to process, or re-visioning of decision-making principles in light of the constantly evolving student experience and student support. Your responsibilities will include: Assessing
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. Together with staff, faculty, students, alumni, employers and community partners, we provide an integrated and coherent path to success that reflects our students' diversity. In support of U of T’s vision
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a transformative agenda deeply rooted in the University’s vision for growth and innovation. We are focused on growing fundraising efforts; enhancing the effectiveness and satisfaction of alumni
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for students, staff, faculty and community members across the three campuses. In achieving this vision, the Faculty is guided by values of integrity, respect, equity and diversity. http://kpe.utoronto.ca
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global challenges are radically reshaping the field of dentistry. Our vision at the Faculty of Dentistry at the University of Toronto is to not just address and respond to these changes – but
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of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural