431 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions at McGill University
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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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: 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
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records. Ensures the integrity of Experience Record / Co-Curricular Record on behalf of the institution. Maintains inventory of experiential learning opportunities (excluding jobs), which involves
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Linguistics, or any other relevant discipline(s) Expertise in one or more of the following areas: Multilingual Communication Technologies, Multilingual AI, Machine Learning in Translation, Multilingual AI and
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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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: 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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initiatives, or with programming language experience and experience in machine learning and health informatics. An Understanding of the digital health space, is expected but not essential. Good Communication
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through the McGill Learning Management System (currently myCourses). Administer all aspects of the logistics of written examinations. Act as chief invigilator. This includes training invigilators, assigning
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. Learning outcomes: By the end of this course, the students will be able to: Describe the purpose of primary hardware and software components of computer networks. Explain the fundamental concepts of common
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 536 Course Title: RF Microelectronics. Course Credits: 3 credits Location: SH680 1255 Schedule: Tuesdays & Thursdays