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on human health. Provides a foundation for advanced studies in bacterial physiology, bacterial genetics, molecular pathogenesis of disease, immunology, and environmental studies. Estimated TA support: 180 TA
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competency testing in the Microbiology Division. Acts as the Quality Assurance specialist and works with the Quality Assurance manager to maintain quality in the Microbiology Division. Oversees studies, method
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, probabilistic viewpoint of ML, etc. Estimated course enrolment: 50 students Estimated TA support: 90 hours of TA support Class schedule: Wednesday 11:00-13:00 *Please note, the delivery method for this course is
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Assist with administrative work, teaching, and research event arrangements Job Requirements: Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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adaptive and in-season management; 3) document research and methods for open science; and 4) synthesize, research, and innovate on information sciences and decision support tools. The position’s major duties
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major themes in the course. Estimated course enrolment: 25 students Estimated TA support: N/A Class schedule: Tuesday 10am-1pm (Lec. 0101) and/ or Thursday 1-4pm (Lec. 0102) *The delivery method
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for their final course assignment. Estimated course enrolment: 95 students Estimated TA support: TBA Class schedule: Lecture: Fridays 9.30am-12.30pm (in-person) *The delivery method for this course is expected
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. Estimated course enrolment: 25 students Estimated TA support: 35-hours Class schedule: Wednesdays 9-12 and/or 2-5pm *The delivery method for this course is expected to be in-person. Please note that, in
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achieving net-zero greenhouse gas emissions by 2050. Estimated course enrolment: 35-40 students Estimated TA support: 45-hours Class schedule: Wednesday, 10am - 12.30pm *The delivery method for this course is
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engineering in healthcare. Minimum Education and/or Training: Master's degree in computer science, computer engineering, data science, information technology or related field required. PhD degree in data