576 parallel-and-distributed-computing-phd positions at University of Toronto in Canada
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written and oral communication skills, and a demonstrated commitment to teaching communication and demonstrated ability to work as part of a team. Preferred Qualifications: include a PhD in an appropriate
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, supporting end-user computing, classroom technology, network, operating systems, hardware and software, as well as current and emerging technology solutions. In this role, you will serve as a first point of
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Date Posted: 09/29/2025 Req ID: 45334 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Mechanical & Industrial Eng Campus: St. George (Downtown Toronto) Description: Course number and title: MIE1628 – Cloud-Based Data Analytics Course description: This course covers...
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Date Posted: 09/29/2025 Req ID: 45243 Faculty/Division: Faculty of Architecture,Landscape&Design Department: Daniels Faculty of Arch., Land & Design Campus: St. George (Downtown Toronto) Description: Sessional Lecturer - JAV101H1S - Design Studio 1 Course description: A studio-based introduction...
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, simulation and visualization. Emphasis will be on applying knowledge gained in earlier coursework in a project-based studio setting using computational techniques, physical model making, and 1:1 fabrication
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sectors through the School of Cities’ Equitable Development Data Insight Training (EDDIT) Program. Working closely with the Map and Data Visualization Lead, the Developer will manage the full project life
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 22 days ago
working environment. Computer skills required (Electronic Health Record platforms, Word and Microsoft Outlook) Excellent decision-making, problem-solving, negotiation and conflict resolution skills Strong
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to promote the active engagement of the College’s first year students. The SLC, OT promotes community development, academic successand personal growth of first year students through program implementation
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chemistry, biochemistry, microbiology, cell biology, and computer programming, relying on microfluidics. Experience working with members of the PI’s research group and collaborators to strategize about
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with schools and community-partners to support practicum and experiential learning opportunities for students in the Department of Curriculum, Teaching and Learning, OISE, while working with program