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for this course is currently in-person. Please note that, in keeping with current circumstances, this course may be delivered in-person, remotely/online, or by a combination of delivery methods as determined by
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biases and constraints. In this class we will explore the world of environmental data from the perspective of those interested in affecting positive change. The class will use case studies and current
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Date Posted: 08/05/2026 Req ID: 49742 Faculty/Division: Faculty of Architecture,Landscape&Design Department: Daniels Faculty of Arch., Land & Design Campus: St. George (Downtown Toronto) Description
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. The Department of Natural Resource Sciences (NRS) (https://www.tru.ca/science/programs/nrs.html ) is seeking to hire a Tenure-Track Assistant Professor in the area of wildlife management/conservation
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 days ago
. Delivery Method: In-person synchronous. Class schedule: For the most up-to-date course timetable and delivery methods, please visit UTM timetable planner: https://ttb.utoronto.ca/ . Dates of appointment: 06
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of the University of Saskatchewan Faculty Association (https://usaskfaculty.ca/ ). This position includes a comprehensive benefits package: dental, health and extended vision care plan; pension plan, life insurance
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Campus The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca/tips
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program requirements concerning course content and program-developed competencies; course content and references must reflect the most current advances in the field. OFNIE Additional Requirements Knowledge
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found here before you apply as external https://www.mcgill.ca/hr/files/hr/workday_guide_for_applying_to_ta_positions.pdf Internal Candidates: Current McGill Graduate Student with an active job(s)/contract
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designing and creating optimal processes and procedures to systematize the data reporting process. The incumbent will use advanced data modeling, predictive modeling, and analytical techniques to develop