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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
, Binary Dependent Variables, Basic Machine Learning. Applications include, but are not limited to: Inventory Management,Assessment of a Marketing Campaign, Demand Estimation, Hospital Management
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student in computer science or in a health science discipline with a strong background in machine learning and its application in biomedical research. Excellent programming skills in Python are required
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Emergency Sessional Lecturer - HIS311H1S Canada in the World Course Description: Ranging from the fifteenth through to the turn of the twenty-first century, students will learn about the treaties
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Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an
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and multi-tasking skills Well-developed computer skills, including Microsoft Office, with the flexibility, adaptability and desire to learn and embrace new and emerging technology High standard
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Date Posted: 07/03/2026 Req ID: 49174 Faculty/Division: Centre for Teaching and Learning Department: UTSC:Ctr-Teaching & Learning Campus: University of Toronto Scarborough (UTSC) Description: Nature
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degree in Statistics/Biostatistics or Mathematics or related discipline. Applicants must have a solid understanding of programming with R, machine learning algorithms, and data structures. Applicants must
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tools such as machine learning, process automation, predictive/preventive analytics and artificial intelligence. This course is designed to demystify the evaluation process and give you the tools that you
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care provider productivity. They also present challenges: • New types of data, (e.g., from DNA testing) may increase risk to privacy. • For machine learning and artificial intelligence to work
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Description: This course will introduce the fundamental concepts of information and communication technology for those students with a health science background, but no formal training in computer or