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title: INI101H1S: Writing, Advocacy, and Social Media Course description: This course is an introduction to the concept of the city as a creative environment promoting not only growth and wealth but also
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
Qualifications The candidate must have a Ph.D. degree in Biology or related field. The decision on hiring will be based on previous teaching experience in this course or other similar courses, academic
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this particular course. Please include a current CV and names of three referees in your cover letter. If you are selected for an interview, we will notify you to provide reference letters. Please apply at: https
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
https://ttb.utoronto.ca/ Sessional dates of appointment: September 2026 – December 2026 Salary: CUPE3902 Unit 3 Salaries . The rates stated in the collective agreement shall prevail. Qualifications: Ph.D
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Complex (https://www.mtroyal.ca/CampusServices/LivingonCampus/index.htm). The incumbent will perform a range of skilled functions, both on her/his own and with others. Responding primarily to student work
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to inform you of its vacancy at the University. APPLICATION PROCEDURE An application package should include: A letter of application outlining the applicant’s research; A detailed curriculum vitae; Contact
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and Title: MMF1928H1F: Pricing Theory (Section LEC 0101) Course Description: This course provides a rigorous introduction to modern pricing theory in finance, focusing on the valuation of derivatives
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and Title: MMF2021H1F: Numerical Methods for Finance (Section LEC 0101) Course Description: This course provides a rigorous introduction to numerical methods essential for modern quantitative finance
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science methods in finance, investments, and risk management. The course covers a review of foundational probability and statistics, brief introduction to machine learning (supervised learning, unsupervised