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Learning Course Description: Machine Learning applications are increasingly utilized to make crucial decisions in many sectors of our economy and society. These include, but are not limited to, healthcare
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
of Computer Supported Co-operative Work (CSCW) through an experiential opportunity to work with a real client. Students create an IT Consulting company and take on the role of consultants, learning core skills
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Board submissions. Strong computer skills (Microsoft Office), database management (RedCap), qualitative data management packages (e.g. NVivo), data analysis software (e.g. SPSS, SAS). Proficiency with
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Course Code & Title: BCH2203 Introduction to Programming in Python COURSE DESCRIPTION: This course is to introduce graduate students to the programing language Python. The course will teach
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
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behavioural issues and how they affect the design and usability considerations related to clinical applications and devices. Students will learn about how artificial intelligence can be used to support
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 40 minutes ago
judgement and tact; to work independently with a high degree of initiative, as well as the ability to work collaboratively. Strong computer skills with a high level of proficiency in spreadsheet applications
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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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Description: ABOUT US The Equity, Diversity and Inclusion (EDI) Office develops and implements initiatives aimed at advancing equity, diversity and inclusion within the learning and working environments across
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include