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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world
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include AI-driven metadata management, machine learning applications in cataloging and discovery, and the ethical concerns surrounding bias, privacy, and surveillance in AI systems. The course will also
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environment. Adaptability and a proactive approach to learning new skills and techniques related to Statistical Machine Learning. Education: PhD degree in Mechanical Engineering, Structural Mechanics, Computer
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Electrical and Computer Engineering students describe him as a great coach, mentor, and supporter of their work. While all doctoral advisors are expected to teach their students how to properly conduct
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knowledge; technological support for decision making (including predictive analytics, machine learning and artificial intelligence); the main types of information systems in health care and their design; and
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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data analytic approaches such as artificial intelligence (AI) and machine-learning to address this complexity are of particular interest. McGill University has an international reputation in excellence
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
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applications of machine learning for textual transcription; specialist imaging techniques including multi-spectral imaging and micro-CT scanning; the mediation and digitization of social processes; artistic and
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to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis