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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 4 hours ago
course discussions within the program Develop and administer examinations Submission of grades Follow up with students as necessary Qualifications/Requirements of Position Candidates must hold a graduate
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 4 hours ago
instruction with Instructional Learning Online services Participation in course discussions within the program Develop and administer examinations Submission of grades Follow up with students as necessary
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of the discussion. ENGL 372 - Stage Scenery and Lighting 2 (3 credits - CRN 7437) Salary: $11,824 Teaching Qualification Requirements (TQRs): Graduate from a program specializing in theatre production; working
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and exam materials in their possession. Please note that this application is a two-step process. You need to complete the following form to complete your application: https://www.mcgill.ca/exams
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 17 hours agoPosted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty
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flexibility. The successful candidate will join a dynamic nine-member division of orthopedic surgery and a multidisciplinary trauma program. It is expected that the chosen candidate will contribute
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. The position start date is August 1, 2027. For more information about the Department of Philosophy, please visit our website at: https://www.mcgill.ca/philosophy/ . Inquiries may be directed to Professor
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expected to: Maintain an active and high-impact research program; Compete successfully for external research funding such as Tri-Council grants or other similar national or international peer-reviewed grant
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and local, national and international collaborators. Required qualifications Education: PhD in computer science, engineering, mathematics/statistics, computational neuroscience or a related quantitative
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uncertainty and learning from new data. The course introduces the basics of Bayesian inference and Markov chain Monte Carlo methods, then shows students how to compute and make inferences for complex data