489 education-technology-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Toronto in canada
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Sessional Lecturer - CTL7035Y - Curriculum and Teaching in Business Studies: General - Intermediate/
description: This course is designed to prepare teachers of Business in Grades 9-12. It focuses on evidence-based curriculum development, planning, and implementation for a range of Business Courses. Innovative
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The University of Toronto requires that candidates must have a Ph.D in Electrical and Computer Engineering, Computer Science, or a related field, with a demonstrated record of excellence in research and teaching
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Sessional Lecturer - CTL7087H - Curriculum and Teaching in Drama and Dance Course number and title: CTL7087H - Curriculum and Teaching in Drama and Dance Course description: This course develops an
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Sessional Lecturer - CTL7087H - Curriculum and Teaching in Drama and Dance Course number and title: CTL7087H - Curriculum and Teaching in Drama and Dance Course description: This course develops an
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backgrounds. A full list of courses can be found at https://artsci.calendar.utoronto.ca/section/Statistical-Sciences . Applicants must have a demonstrated record of excellence in teaching statistics
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and/or dual-use technologies, and with a demonstrated record of excellence in research and teaching. The successful candidate will have established an independent program of research, with potential
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related technology; Past teaching experience related to health informatics, preferably at the graduate level; Prior experience in curriculum development and adult teaching-learning methods; Comfortable with
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, architecture and systems involvement; A robust understanding of clinical/clinician work processes, as influenced by health informatics and related technology; Past teaching experience related to health
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Qualifications Education Ph.D in engineering, or in a relevant science. Experience in electrochemical energy conversion, including fuel cells and electrolyzers is mandatory. Experience Minimum of five (5) years
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; Arobustunderstanding of clinical/clinicianworkprocesses, as influenced byhealthinformaticsandAI and ML technologies. Past teaching experiencerelated to healthinformatics,preferably at the graduatelevel; Prior