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knowledge of computer-based theatrical lighting and sound systems. Must be able to instruct, assist, and supervise students in theatre labs. Must be able to work within time and budget constraints. Must be
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member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics, and mathematics
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with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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lecturer position to teach in Fall 2025. Please include your cover letter and Curriculum Vitae and if applicable a copy of your Study/Work Permit. A brief course outline is optional. Course Lecturer MECH 393
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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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; Aditya Mahajan ECSE 551: Machine Learning for Engineers; TBA McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage
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Science, or a related field. Strong programming skills in Python, R, or related languages for data analysis and machine learning. Experience with genomics data analysis, health informatics, or computational
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machine learning methods and AI tools, • Proficiency with clinical trials, FDA/Health Canada submission templates, • Excellent prioritization, time management, communication (verbal and written
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material necessary for preparation of tutorials and class discussions; Consult and communicate with course lecturer; Assist students learning; Effectively communicate with students; Respond to student