311 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at McGill University
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evening per week (from 5 to 7 pm or from 7 to 9 pm). The course lecturer will be required to develop conversation content for the assigned class fluency level(s) based on pre-defined workshop learning
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animal events on log sheet. Regularly transfers data from log sheets into computer using DSA Laitier and DelPro software. Collects data for research trials and ensures accuracy of records. Liaises with
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: The Research Associate reports directly to the Research Supervisor (Prof. Anne Kietzig) to align the laser beams, enabling the execution of laser fabrication commands and develop new machining controls
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the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering
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the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering
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the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering
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inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as March 1, 2026. Annual Salary: $55,000 Application review: Ongoing until
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Centre is inviting applications for a Course Lecturer to teach the Summer 2026 graduate course WCOM 661-701. Course details and Teaching Qualification Requirements (TQRs) can be found below. Posting period
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 206 Course Title: Introduction to Signals and Systems Course Credits: 3 credits Location: RPHYS 112 Schedule