424 machine-learning-"https:"-"https:"-"https:" positions at McGill University in canada
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devices. Develop, design and build electronic and electrical circuitry for installation. Modify and install various machines or circuits in support of experiments and for new laboratory set-ups. Draw plans
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for more advanced data analysis, statistical modeling, and machine learning applications. Creative, well organized and self-motivated, with strong analytical, planning and problem solving skills
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, quantum information theory, quantum programming languages, quantum compilation, and classical-quantum computer architectures. Position Description: The School of Computer Science at McGill University
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conferences). Knowledge of existing AI ethics frameworks, fairness toolkits, and fundamental concepts behind value-sensitive design. Capable of assessing submitted machine learning models and code in Python
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publicity brochures. Formats according to specifications using standard computer applications. Verifies for completeness and proof-reads for grammar and spelling. Composes routine correspondence. Performs
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: The TA is expected to have strong Python skills and familiarity with data analytics and machine learning. Prior experience with text analytics, NLP, language models, or related methods is particularly
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of Computer Science Course Title: Machine Learning in Genomics and Healthcare Course Code: COMP 565 Estimated Number of Positions: 3 Total Hours of Work per Term: 90 Hiring unit: School of
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monitoring, small molecule (e.g. metabolite) sensing, or computational and machine learning-based biosensors and biosensing will be considered assets. The successful candidate will advance transformational
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Undergraduate Student Advising (SOUSA). Together, we provide guidance and support to over 6000 undergraduate students; assisting them in making informed academic choices in light of their learning, career and
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: Department of Electrical & Computer Engineering Term: Winter 2027 Course subject code: ECSE 205 Course Title: Probability and Statistics for Engineers Course Credits: 3 credits Location: MSTBIO S1/4 Schedule