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of social media as a tool for community-building and collaborative design, the sharing economy, online protest movements, mass surveillance and its implications, and the impact of misinformation on climate
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Date Posted: 08/05/2026 Req ID: 49742 Faculty/Division: Faculty of Architecture,Landscape&Design Department: Daniels Faculty of Arch., Land & Design Campus: St. George (Downtown Toronto) Description
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experience related to the course content may be considered. Experience Knowledge of educational and psychological theories. Knowledge of the application of educational and psychological theories to authentic
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stations work, and their major components. After a site tour, students will consider the major decision making factors in the design of a waterpower facility: policy and planning considerations, the business
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sequencing (NGS) and imaging data · Expertise with statistical modelling and the design of geospatial statistical software · Excellent communicator and professionalism · Experience
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teaching the scientific material to undergraduate students. Experience lecturing at the university level will be preferred but not required. View the academic calendar for term course dates at: https
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design, execution, and publication of results Strong commitment to conducting collaborative, interdisciplinary research Excellent interpersonal, oral and written communication skills in English Experience
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innovation, and develop and motivate teams and individuals. Demonstrated experience overseeing the development, implementation, and ongoing management of digital platforms, including websites and technology
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
teaching interests complement and enhance our existing departmental strengths (https://www.utm.utoronto.ca/geography/ ). Candidates must have teaching experience in a degree-granting program, including
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Proficiency in SPSS and other statistical software (example R, SAS, etc) Experience with data collection, management, analysis, visualization, and interpretation. Ability to select appropriate biostatistical