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Number and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific
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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Sessional Lecturer - MMF2030H1F: Machine Learning (Section
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Engineering side, 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
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streaming data, with a specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where
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application of quantitative and machine learning methods to health research. The position will report to the Principal Investigators and will work closely with other members of the research team. The
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision and prior teaching experience are considered valuable assets. Excellence in scholarly
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision and prior teaching experience are considered valuable assets. Excellence in scholarly
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University of Toronto | Downtown Toronto (University of Toronto / Harbord), Ontario | Canada | 1 day ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an