946 electrical-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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connects admitted and prospective candidates with current law students. Ambassadors are uniquely placed to tell applicants about the advantages of studying law at McGill. In fact, many of our current
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current and accurate. Assists in coordinating events, may include scheduling, creating & sending invitations, recording RSVPs, creating name tags, ordering food, setting up and taking down tables etc
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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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; • Must be a current McGill graduate student; • Must be punctual. Hourly Salary: (AGSEM Invigilator) $18.00 Deadline to Apply: 2026-09-20 McGill University hires on the basis of merit and is strongly
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awareness of current social media trends; familiarity with social scheduling tools an asset. Must be a current McGill student able to work independently on a flexible schedule. Before applying, please note
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are coordinate measuring machines and measurement probes. Basic understanding of geometric and dimensional tolerances. Past TA duties must include marking or demonstrating or tutoring. Proficiency in English
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Canada and the US in accordance with established guidelines and procedures. Remain attentive to current enrolment capacity for programs in high demand and enrolment objectives for programs experiencing
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outstanding potential who are doctoral students and who plan to have completed the requirements for their Ph.D. by December 2027. Preference will be given to candidates whose research aligns with Faculty
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Research Assistant 2 position is based in Prof. Prof. Songrui Zhao’s research lab in the department of Electrical and Computer Engineering. Position Summary Under the supervision of the Research Supervisor
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML