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into the future e.g. risk and health impact assessment to inform programs and policies; and increasingly, evaluated the impact of policy and program interventions aimed at reducing the environmental burden
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to the job description, by graduate training, clinical experience, publications, awards, quality initiatives led, and program development or leadership. The successful candidate will lead the inter
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variables, statistical models, sufficiency and ancillarity, statistical functionals, influence curves, maximum likelihood estimation, computational methods. Estimated Course Enrolment Up to 60 Estimated TA
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Statistics, Actuarial Science, Biostatistics, or related discipline required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics, or related discipline. Prior experience teaching
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Long Term) Please note that should rates stipulated in the Collective Agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. PhD or an equivalent
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 7 hours ago
their writing, and communicating effectively to diverse audiences. This course does not count toward any English program. Section: LEC0102 Day(s): Tuesday, Thursday Time(s): 9-11, 9-10 Estimated Enrolment: 100
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+), particularly in active learning environments, and experience in teaching computer programming, data science, or software design. Preferred Qualifications: include a PhD in an appropriate discipline (as above
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
from rates stated in this posting, the rates stated in the collective agreement shall prevail. Qualifications: A PhD (completed) in any of the sub disciplines of Forensic Science (i.e.: Anthropology
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staff and teaching assistants (primarily through the Teaching Assistant’s Training Program) across the university’s campuses and divisions. As a hub for the network of teaching centres across
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centenary in 2028, has built on its heritage strengths in libraries, archives and museums to incorporate scientific and technological expertise from engineering, computer science, and other disciplines