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operation of central administrative data centres and telecommunications services. If you’re motivated and passionate about learning technologies and dedicated to improving experiences for today’s student
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing
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variety of perspectives and help students develop the skills to apply what they learn in the classroom to the world around them. We are also home to professors committed to undergraduate education froma
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Date Posted: 08/07/2026 Req ID: 49772 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Electrical & Computer Eng Campus: St. George (Downtown Toronto) Position Number
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 16 hours ago
for hands-on learning and outstanding scholarship at the vibrant, diverse and expanding campus that is UTSC. This search aligns with the University’s commitment to strategically and proactively promote
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days 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 nowhere else for our community to achieve their ambitions and make
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is a catalyst for 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
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student in computer science or in a health science discipline with a strong background in machine learning and its application in biomedical research. Excellent programming skills in Python are required
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, plan, analyze and improve systems. Ability to follow good system administration discipline and practice. Ability to lift/move desktop and server computer equipment. Ability to learn continually
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Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an