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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 552 Course Title: Deep Learning Course Credits: 4 credits Location: ENGMD 279 Schedule: Monday and Wednesday: 8:35 am
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Position in Software Engineering Department of Electrical and Computer Engineering, McGill University The Department of Electrical and Computer Engineering at McGill University invites applications for a
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engineering, manufacturing, and artificial intelligence. Responsibilities: Conduct comprehensive literature reviews on machine learning techniques applicable to design-manufacturing integration. Pre-process
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the Department of Mechanical Engineering, is seeking a motivated and skilled Research Assistant to support cutting-edge research in predictive simulation of human-machine interaction, specifically focused
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: Optical Fibre Communications; David Plant ECSE 551: Machine Learning for Engineers; Mark Coats ECSE 552: Deep Learning; Course Lecturer ECSE 554: Applied Robotics; Hsiu-Chin Lin ECSE 597: Circuit Simulators
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area: Reinforcement learning; probabilistic approaches in machine learning; mathematical foundations of machine learning. Previous experience as an instructor at the university-level is required. Related
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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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such as ECG, Echo, Pulse wave velocity, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI). Using machine learning and AI techniques, the project