655 education-"https:" "https:" "https:" "https:" "https:" "https:" positions in canada
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comparative collection), and our two bio/archaeology teaching labs. We have an additional archaeology lab which stewards significant legacy collections from previous generations of field schools and research
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
position with a strong emphasis on high-quality teaching, excellent communication and dedication to student success. The course consists of two weekly 80-min lectures on Wednesday and Friday, 16:05-17:25
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or educational leadership achievement. We encourage applicants to note in their applications whether they would like consideration given to the impact of any circumstances, such as those due to health or family
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
notification to all applicants in the Department’s Applicant Pool: all Sessional Lecturers who are teaching for the Department during the current academic year or who have taught for the Department since
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
notification to all applicants in the Department’s Applicant Pool: all Sessional Lecturers who are teaching for the Department during the current academic year or who have taught for the Department since
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
notification to all applicants in the Department’s Applicant Pool: all Sessional Lecturers who are teaching for the Department during the current academic year or who have taught for the Department since
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Sessional Lecturer - CTL7006H - Educational Research 1 Course number and title: CTL7006H - Educational Research 1 Course description: This course is designed to develop students' identities as
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Sessional Lecturer - CTL7006H - Educational Research 1 Course number and title: CTL7006H - Educational Research 1 Course description: This course is designed to develop students' identities as
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, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics infrastructure across gynecologic cancer
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clearly demonstrated record of excellence in research and teaching. Candidates must outline a program of rigorous and innovative research at the highest international level backed by a track record