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Location: Faculty of Engineering, McGill University Teaching Qualification Requirements: Education: Minimum requirement of a Ph.D. in the fields of Engineering, Accounting or Finance, or a master’s degree
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Location: Faculty of Engineering, McGill University Teaching Qualification Requirements: Education: Minimum requirement of a Ph.D. in the fields of Engineering, Accounting or Finance, or a master’s degree
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service of the Veterinary Medical Centre (https://vmc.usask.ca/ ) while providing supervision and instruction to undergraduate students – primarily those in the fourth or final year of the Doctor
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programming. Topics include computer instruction execution, instruction-level parallelism, memory system performance, task and data parallelism, parallel models (shared memory, message passing), synchronization
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. Candidates are advised to review the agreement prior to applying. Education: Minimum requirement of i) a Masters or Ph.D. in Engineering, or ii) a Master’s degree or Ph.D. in Management or Business
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Applications are invited from qualified individuals for a full-time tenure-track faculty position in Beef Cattle Research and Extension in the Department of Large Animal Clinical Sciences (https
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largest mental health teaching hospital and one of the world’s leading research centres in its field. CAMH is fully affiliated with the University of Toronto and is a Pan America Health Organization/World
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
for teaching and supervising a group of BScN students who provide direct client care in clinical settings, work in a clinical skills and simulation lab or tutorial group setting. Tasks include but are not
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
Qualifications: Graduate degree in English, Cinema Studies, or related field. Teaching assistant experience at the University of Toronto is an asset. Duties: Conducting tutorials, grading assignments and exams
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including employee selection, compensation, and labor relations. Students will use R software to analyze HR data, assess policy effectiveness, and develop data-informed recommendations. The course highlights