214 parallel-computing-numerical-methods uni jobs at University of Saskatchewan in Canada
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Number, Section, and Name: HLST 210.3 (02) Research Method in Health Studies Term and Course Dates: Winter Session, T2 (January 6, 2026 – April 7, 2026 CRN: 25852 Delivery Mode: This course will be
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teaching using methods that promote collaborative and peer-to-peer learning in small course cohorts Experience teaching mature student cohorts and students with nonstandard K-12 preparation in relevant
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of skills for student success in those disciplines Experience teaching using methods that promote collaborative and peer-to-peer learning in small course cohorts Experience teaching mature student cohorts and
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a complex academic and research environment, and the ability to work and communicate effectively and cooperatively, by a variety of methods, with Vice Deans, Associate Deans, Deans, administrators
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, process re-engineering, and policy adaptation to support robust study abroad student advising and program administration Leads cross-functional projects and change initiatives that streamline processes and
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teaching using methods that promote collaborative and peer-to-peer learning in small course cohorts Experience teaching mature student cohorts and students with nonstandard K-12 preparation in relevant
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. The preferred candidate should possess expertise and experience in substantive public health areas, and have an established track record or potential for developing a strong program of research, with experience
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, computer systems and radio equipment simultaneously · Determines the type of service required, location of incident and appropriate service · Provides appropriate information for public disclosure
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, computer systems and radio equipment simultaneously · Determines the type of service required, location of incident and appropriate service · Provides appropriate information for public disclosure
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program of the University of Saskatchewan, or must be alumni of a program at the University of Saskatchewan. Preference will be given to current graduate students in the College of AgBio and candidates who