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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Minimum Qualifications Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as
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information on our Department, please visit http://www.mtroyal.ca/ProgramsCourses/FacultiesSchoolsCentres/Arts/Departments/SociologyAnthropology/index.htm The Department of Sociology and Anthropology, Faculty
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university-level courses in the forest resource sector including forest economics, resource management and conservation. Familiarity with digital learning tools including the University of Toronto Quercus
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learn from other Black educators in a healing, empowered, culturally responsive, affirming, and sustaining space. The content of the course explores historical and current realities of Black educators
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they developed in CTL 7006 to learn some of the foundational skills of doing research. They conduct a small-scale qualitative research study using either semi-structured interviews or document analysis methods
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
and cognitive processes that underlie and develop along with language learning. Application Instructions: PLEASE APPLY ONLINE: https://www.utsc.utoronto.ca/webapps/cupehiring/dept/ls/app/sl Salary: In
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on these banks to teach, to learn, and to build community. The city of Saskatoon has a diverse and thriving economic base, a vibrant arts community, and a full range of leisure opportunities. STM collaborates with
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Sessional Lecturer - CTL7014H - Fundamentals of Teaching and Learning Course number and title: CTL7014H - Fundamentals of Teaching and Learning Course description: This course will explore
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looks at how the design of waterpower dams, structures and equipment has been shaped by technological change over time. Students will learn to analyze the upgrade potential of an existing plant; review
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priority programs: JPCH Pediatric Neurology Learning Health System and Research Infrastructure: development of a governed, reusable platform that converts routinely collected clinical and service data