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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 16 days ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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procedures, and liaising with other University offices and departments. Your responsibilities will include: Acting as the first point of contact for program-related enquiries; providing information to students
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 10 hours ago
changes to streamline and improve understanding of information. Working with the Executive Director, the Assistant Directors and the Director, Planning & Analysis in Budget, Planning and Finance
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conditions and performs the full gamut of NV procedures. We perform large volumes of endovascular aneurysm repairs and carotid stenting procedures annually. SMH is a designated Comprehensive Stroke Center and
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Department. This role manages the financial operation teams to provide services to OREP and departments, analyze financial data, drive process improvements, mitigate risks, and engage with stakeholders
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large-scale data systems for youth mental health services, including development of data infrastructure, governance and systems for measurement-based care. The Chair will serve as a scientific leader at
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resources in print and on the web for a diverse audience Excellent skills in developing and giving presentations to small or large audiences. Strong computer skills with proficiency with Microsoft 365
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Toronto, Ontario, M5T 2S8 Email: Shirlene.Eliathamby@uhn.ca CAUTION: This ad is “posted only” to the U of T affiliated hospital job board. Please see the information directly above for the application
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: 00058330 Description: About us: The Department of Mechanical & Industrial Engineering is a large department, home to 70 research and teaching stream professors, and more than 2,000 students: undergraduates
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experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve