424 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University
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Excellent organizational, communication, and teamwork skills Experience with dynamic causal modelling (DCM), machine learning or related computational approaches are an asset Roles and Responsibilities
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the broader technical support team with troubleshooting and implementation tasks. Maintain websites Other Qualifying Skills and/or Abilities: Basic knowledge of computer hardware and software Familiarity with
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: Electrical and Computer Engineering Exam Date : December 11, 2025 from 6:30-9:30 PM (+1 hour; split in 30 min for prep & 30 min for wrap) ECSE 500 Mathematical Foundations of Systems. Position Summary
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nominated to become a core member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics
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students’ learning Attending lectures/labs is required Lecture Mondays and Labs Tuesdays from 8:35AM to 11:25AM Qualifications: Advanced knowledge of statistics Background in the subject matter of the course
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first year medical students in performing anatomical dissections. Demonstrated ability to teach human anatomy in the laboratory is a plus. The UCA will be responsible for preparing upcoming labs by
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the use of the machines, verifying that the laser cutters are operating correctly and all safety procedures are carried out properly. Troubleshooting student files and machine errors. Helping with
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manuals related to projects on sustainability approaches in teaching, learning and research Assist in organizing events such as workshops Education and skills high school diploma 2 years of relevant
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Information: Applicants must: 1. demonstrate an ability to design structured course materials, including learning activities, based on the course description and target audience; 2. demonstrate an ability
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presentations. Applicants must: 1. demonstrate an ability to design structured course materials, including learning activities, based on the course description and target audience; 2. demonstrate an ability