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the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. PhD in Physics or a closely related field At least 3 years research experience in
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Date Posted: 06/17/2024 Req ID: 38026 Faculty/Division: Faculty of Kinesiology & Physical Education Department: Faculty of Kinesiology & Physical Education Campus: St. George (Downtown Toronto
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Admission MMSt Admission MI Admission PhD Admission DAIS Admission International Applicants International Student Experience Money Matters Newly Admitted Students Current Students Student Services Programs
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Enrolment: 40 PhD candidates and postdoctoral fellows Number of Positions: 1 Start Date: August 1, 2024 End Date: August 30, 2024 Hours: 10 hrs (schedule to be arranged with supervisor) Salary: CUPE minimum
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shall prevail. PhD in Physics or a closely related field At least 5 years of experience in scientific computing Demonstrated excellence in teaching at the University level Description of duties
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, the rates stated in the collective agreement shall prevail. Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree
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and title: ERE1180HS - Global War and Failed Peace in Afghanistan Course description: This workshop will explore how the Doha Peace Process led to the dramatic collapse of Afghanistan's National
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link traditional teaching with walking a mile in ancient footwear. Participation in this course requires an active imagination and a willingness to get physical. Estimated Course Enrolment: 30 Estimated
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Sessional- MHI2006H: Advanced Topics in Health Info (Strategic Frameworks for Solution Architecture)
course is designed for students to apply critical thinking and knowledge built throughout the MHI program to the process of engaging theoretical frameworks for solution architecture within real-world
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techniques used in systems analysis. This course will cover conventional systems analysis methods as well as recent developments. Modelling approaches considered will include process modelling, data modelling