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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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sustaining a diverse 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
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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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experience of the candidate At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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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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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
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hubs of learning and research, fuelling a rich talent pipeline that is supporting social and economic renewal. The university’s smart, caring and connected community inspires and empowers individuals
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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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functional MRI analysis, EEG analysis, brain anatomy and connectivity. Advanced in: bio math/stats: biophysical modeling; multivariate techniques such as PLS, MDS; machine learning, signal processing