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programming. Topics include computer instruction execution, instruction-level parallelism, memory system performance, task and data parallelism, parallel models (shared memory, message passing), synchronization
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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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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
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informatics and related technology; Past teaching experience related to health informatics, preferably at the graduate level; Prior experience in curriculum development and adult teaching-learning methods
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 14 days ago
: Department of Biochemistry Course Title: Biophysical Methods in Biochemistry Course Code: BIOC 404 Estimated Number of Positions: 4 Total Hours of Work per Term: 20 Name of the Course Coordinator: Prof. Martin
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course lecturer position to teach in Winter 2027. Please include your cover letter and Curriculum Vitae. Course Lecturer MECH 546 - Finite Element Methods in Solid Mechanics (3 credits) Instructor must
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 days ago
Description: Sessional Lecturer: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization The Institute for Management and Innovation’s Master of Urban
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School of Nursing Course Title: Research Methods in Nursing 1 Course Code: NUR2 612 Estimated Number of Positions: 1 Total Hours of Work per Term: 90 Hiring Unit: Ingram School of Nursing Course Title and
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 14 days ago
: Department of Biochemistry Course Title: Laboratory Methods in Biochemistry and Molecular Biology 1 (Lab) Course Code: BIOC 220 Estimated Number of Positions: 8 Total Hours of Work per Term: 146 Name of
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adhered to. These positions are associated with the following courses: EE216 Probability and Numerical Methods EE221 Analog Electronics EE368 Mobile Robotics EE322 Microwave and RF Circuits EE241