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: Edward S. Rogers Sr. Department of Electrical and Computer Engineering Campus: St. George (Downtown Toronto) Description: The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in
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experience managing large complex projects involving technology. Experience working with relational databases, user experience, and/or logic trees. Advanced computer skills in Microsoft Office (must be able
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: Sessional Lecturer - ARC381Y1S - Technology Studio IV Course description: This studio continues to explore the role of technology in design and promotes innovation in design tool development, building systems
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Collaborating on cost estimates Serving as a resource on specific issues to a group of specialists Essential Qualifications: Bachelor's Degree in computer science, geography, urban planning, urban studies
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 20 days ago
with internal and external stakeholders Exceptional inter-personal and communications (written and verbal) skills Strong computer skills with experience in Microsoft Office (Excel, Word, PowerPoint
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 20 days ago
together over a meal at various food festivals and events, ensures equipment and furniture are well maintained, operates TCard+ Program and meets the changing needs of our community as a whole through the
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planning IT projects Serving as a resource on specific issues to a group of specialists Essential Qualifications: Bachelor's Degree in Computer Science, Software Engineering or a related field or an
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Date Posted: 08/08/2025 Req ID: 42261 Faculty/Division: Faculty of Arts & Science Department: Acceleration Consortium Campus: St. George (Downtown Toronto) Position Number: 00048987 Description
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staff to procure effectively and responsibly, grounded in a culture of teamwork, collaboration, diversity, inclusion, and continuous improvement. Your opportunity: As a Procurement Program Support Officer
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or