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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
Date Posted: 03/02/2026 Req ID: 47159 Faculty/Division: UofT Scarborough Department: UTSC:Dept-Management Campus: University of Toronto Scarborough (UTSC) Description: Course Code and Title: Number
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
Date Posted: 03/02/2026 Req ID: 47158 Faculty/Division: UofT Scarborough Department: UTSC:Dept-Management Campus: University of Toronto Scarborough (UTSC) Description: Course Code and Title: Number
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
Date Posted: 03/02/2026 Req ID: 47160 Faculty/Division: UofT Scarborough Department: UTSC:Dept-Management Campus: University of Toronto Scarborough (UTSC) Description: Course Code and Title: Number
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Instructors Union collective agreement; https://www.mcgill.ca/hr/files/hr/mcliu_collective_agreement_-_final_version_for_printing_0.pdf . The University may, at its discretion, assign a person of its choice
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-country survey datasets for comparative analysis. Conceptualize and refine a theoretical framework integrating intersectionality and stigma processes. Develop and code a Bayesian meta-regression to pool and
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, 2026. This course will be offered online following the schedule above. You are covered by the working conditions specified in the McGill Course Lecturers and Instructors Union collective agreement; https
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Union collective agreement; https://www.mcgill.ca/hr/fi les/hr/mcliu_collective_agreement_-_fi nal_version_for_printing_0.pd f Please contact ofnie.education@mcgill.ca with any questions you may
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. This course will be offered online following the schedule above. You are covered by the working conditions specified in the McGill Course Lecturers and Instructors Union collective agreement; https
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for users of the Monarch Android pin‑array tablet (https://www.humanware.com/en-usa/monarch ). In this role, you will work closely with Humanware’s ML developers to design and implement an ML toolchain
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actions for a better world. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender