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courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with
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expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Minimum Qualifications Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as
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, organization, cleaning, and management of speech and language datasets. Support the development, testing, and refinement of machine learning and artificial intelligence models. Conduct literature reviews related
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. For this course, “international relations” is broadly defined, including military, political, economic, environmental and immigration policies, both official and informal. Minimum qualifications: Master of Arts in
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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Shrum building and the Biomedical Research Centre (BRC). For more information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . The position will require the incumbent
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
applications that facilitate assessment. Application Instructions: PLEASE APPLY ONLINE: https://www.utsc.utoronto.ca/webapps/cupehiring/dept/ls/app/sl Salary: In accordance with the current CUPE 3902 Unit 3
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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 disciplines
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic