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), previously developed algorithms (e.g., converting all opioids dispensed to morphine milligram equivalents), and epidemiological and econometric methods (e.g., interrupted time series analysis, hierarchical
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, cells, and populations of cells. Superior knowledge of information storage in DNA and DNA computation; molecular surfaces of proteins; computation with motile biological agents in networks; and biological
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of consent, harm reduction, and anti-oppression amongst all parties involved in Frosh, as well as on the logistics of training and Frosh program delivery. Major Duties and Responsibilities: Under
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technologies Employment Learning Outcomes: As a Program Assistant, you will have the opportunity to learn and/or develop skills in the following areas: Project management and event planning skills Student
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- Linear Algebra and Probability MATH 133 - Linear Algebra and Geometry MATH 140 - Calculus 1 MATH 141 - Calculus 2 MATH 203 - Principles of Statistics 1 MATH 204 - Principles of Statistics 2 MATH 222
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, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role
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: Desautels Course Title and Course Number: Enterprise Data Science: Concepts and Algorithms/Enterprise Machine Learning in Production INSY 674/684 Estimated Number of Positions: 1 Total Hours of Work per Term
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eligible for an appointment as a Teaching Assistant for Winter 2026 term, applicants must be enrolled in a McGill graduate program in Winter 2026 term. Hiring Unit: Department of Human Genetics Course Title
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGTR 0070 Schedule: Tuesday and Thursday
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Therapy (CFT) Program, School of Social Work Course/Program Developer (Curriculum) Overview of Role : Provide specialized course/program development to be used as part of a series of didactic seminars