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priority points. Teaching Qualification Requirements: Education : Master’s degree (currently enrolled in PhD program) or PHD in hand. Experience : University level teaching experience in writing, poetics
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. The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of
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home with administrative and faculty offices, an on-site Library, student computer facilities, study space and a classroom. ABOUT THE RESEARCH: The CIRHR at the University of Toronto invites applications
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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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acquired solid skills in a field related to actuarial sciences. The selected candidate will need to develop a funded research program, supervise the research work of students at all three levels, primarily
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. Candidates must have acquired solid skills in a field related to actuarial sciences. The selected candidate will need to develop a funded research program, supervise the research work of students at all three
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 days 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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 12 days 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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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