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transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a fundamental promise – Here’s
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
success, and seek to give our 16,500 students the lift of a lifetime through learning and discovery. We love to open opportunities available no where else for our community to achieve their ambitions and
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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 discovering new ways of thinking
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Date Posted: 04/18/2024 Req ID: 37024 Faculty/Division: Faculty of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto
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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Software Engineering
software systems. Knowledge of current software development practices involving artificial intelligence and machine learning is an asset. Candidates are expected to be able to teach courses in existing
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. The objective of the Events and Programs Coordinator is to assist in conceptualizing, planning, and executing these programs and events in order to promote heritage and cultural learning to the public and for
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-impact and experiential learning educational practices preferred. Experience with curriculum management systems preferred. Skill Advanced computer skills in Microsoft Office (must be able to set up
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success, and seek to give our 16,500 students the lift of a lifetime through learning and discovery. We love to open opportunities available no where else for our community to achieve their ambitions and
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the best possible online, in-person, and hybrid language learning experiences. Our engaging experiential programming complements the in-class experience by providing opportunities for learners to use
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of Post-doctoral experience with demonstrated academic and research expertise in the field of distributed systems. Skills – Strong background in distributed systems and machine learning. Ability to work