393 learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Canada
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per annum. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students
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Partnerships, and Transformational Education. The Canada Research Chairs Program is the flagship of a national strategy to make Canada one of the world’s top countries in research and development. (http
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expertise at the undergraduate level, with a documented history of presenting lectures, explaining concepts clearly, and effectively administering courses through learning management systems Preferred
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Centre for Workplace Accessibility, please visit their website [https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility]. To learn more about how the University is
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recognized research program that will attract outstanding graduate students and post-doctoral fellows. The successful candidate must also have the interest and expertise to teach science courses (existing
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
with people experiencing musculoskeletal and other physical health issues. Learners will be expected to integrate learning from courses across this term. We are looking for up to six part-time
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is CAD $60,000 per annum. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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. Demonstrated knowledge and practice of equity, diversity and inclusion required. Ontario certification as a teacher is an asset. Preferred Qualifications: N/A Description of duties: Prepare, organize, and teach
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic