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clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and conceptual understanding of data analytics techniques (Regex, SQL, RapidMiner). The goal
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that informatics plays in clinical healthcare. Course Details: Class schedule: Modular Estimated enrolment: 70 Estimated TA support: based on enrolment - None Qualifications: A PhD or Masters level education
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In-Person Sessions Estimated enrolment: 66 Estimated TA support: None Qualifications: PhD or Masters level education in health informatics or related field; A robust understanding of project management
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Sessional Lecturer - ECO220Y1Y Introduction to Data Analysis and Applied Econometrics (Section LEC05
to analyze a wide variety of data and replicate tables and figures in economics research papers. Estimated course enrolment: 175 Estimated TA support: 490 hours (contingent upon enrolment and funding) Class
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Master’s degree required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics or related discipline. Prior experience teaching at the university level. Prior experience teaching
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 11 hours ago
this posting, the rates stated in the collective agreement shall prevail. Qualifications: A PhD (completed or ABD with active student status at issuing institution) in Molecular Biology or a Masters (completed
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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2024 (September - December) INF413H1 – Information Policy in Canadian and Global Contexts Course Description: This course
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rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum qualifications: PhD in Economics Prior experience teaching this course (or a similar course) at the
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in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications: PhD in Political Science. Preferred Qualifications: Research experience in the area of cybersecurity