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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 13 hours ago
Computer Engineering Fundamentals Algorithms for Computer Engineers Microprocessors Operating Systems Real-Time Systems Computer Security Electrical and Computer Engineering Design Engineering Design II
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 29 days ago
are expected to range from structure and function of whole ecosystems (e.g. the collapse of fisheries) to evolutionary ecology (e.g. the evolution of emergent diseases). Estimated course enrolment: 24
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 29 days ago
, mutation, extrachromosomal inheritance, quantitative genetics, population and evolutionary genetics and genetics of behaviour. Estimated course enrolment: 75 Estimated TA support: 70 total hours- to be
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 29 days ago
taken, placing the structure and function of the skeletal, muscular and nervous systems in an evolutionary context. Estimated course enrolment: 500 Estimated TA support: 525 total hours- to be adjusted
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 29 days ago
, evolutionary biology, agriculture and conservation biology. Topics covered include: chromosome theory of inheritance, basic eukaryotic chromosome mapping, gene and chromosome mutation, the lac system
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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis