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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1343H – Data Modeling and Database Design Course Description: The purpose of this course is
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for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop
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of Professor, with an anticipated start date of July 1, 2026. We seek candidates conducting research on climate data science that draws together observations, models, and machine learning. Candidates must have a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 21 hours ago
outreach programs as required. The incumbent will also assist students to select options for their mental health care using the Stepped Care model. The incumbent will be providing counselling services within
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requirements Demonstrated experience working with large and complex data sets, as well as experience analyzing volumes of data Demonstrated experience in creating data models and datasets Experience with Tableau
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services, ensuring that our functions are efficient, coordinated, and designed with user needs in mind. In partnership with DVPP portfolios, the ED will help evaluate and refine service models, working
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 12 days ago
of Positions: 2 CCT285H5F Immersive Environment Design Students will develop skills in the areas of bitmap/vector graphics, audio/visual production and editing, 2D/3D modeling and animation, and video game
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for modelling and analyzing information systems in their application contexts. Systematic techniques for representing and analyzing process and data, use cases and scenarios, stakeholder goals and relationships
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for modelling and analyzing information systems in their application contexts. Systematic techniques for representing and analyzing process and data, use cases and scenarios, stakeholder goals and relationships