236 learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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MGCR 271 GEOG 216 AEMA 101 AEMA 202 AEPH 112 AEBI 120 As a PALs Peer Leader, you will be responsible for facilitating a weekly peer-assisted learning session that gives participants an opportunity
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, support the development of learning outcomes, a course plan, and draft instructional content for a Fundamental AI in Engineering course. Contribute to the development of conference presentations and
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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. Ability to learn quickly and multitask. Well organized with attention to detail. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing
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well as upkeeping the learning management systems. The above is representative and not a complete and detailed list of tasks. Other Qualifying Skills and/or Abilities: High School Diploma with minimal
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, designing primers for DNA amplification, PCR amplification, sequencing, analysing the results, RNA extraction, single nuclei extraction, cell culture. The Lab Helper B will learn different techniques such as
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Centre Fall 2026 Term The McGill Writing Centre is inviting applications for a Course Lecturer to teach WCOM 206-801 (CRN 8147 - 3 credits) - Communication in Engineering during the Fall 2026 term. Course
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long-standing PPTI programming, the Masterclass offers an advanced, immersive learning experience for professionals with significant experience in public policy advocacy. Designed as a deep dive into
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Assistant and Study Recruiter to help power our research into how infants learn to understand and produce speech and language. You'll be the friendly face that connects local families to our studies, and the
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, topographic data, land-cover data, and other environmental predictors. Designs and evaluates statistical and machine-learning approaches for modelling plant species distributions and assessing environmental