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title: CSC2515HS - Introduction to Machine Learning Please note, this position is a 0.5 FCE appointment. Course description: Machine learning (ML) is a set of techniques that allow computers to learn
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2179H – Machine Learning with Applications in Python Course Description: Machine learning has
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Research Machine Learning Software Developer Department Bashashati Laboratory | School
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2205H – Designing Sustainable and Resilient Machine Learning Systems with MLOps Course
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of Machine Learning for Biomedical Data. Good oral and written communication skills. Hiring Unit: Biomedical Engineering Course Title and Course Number: BMDE 520 - Machine learning for Biomedical Data
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
development and accreditation. Responsibilities: The successful candidate will teach six undergraduate courses per year in the Computer Engineering curriculum. Courses may include: Computer Architecture
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& Opportunities for Better Health Care 2. Health Data and Visualization 3. Health Data Analysis and Machine Learning A Graduate Teaching Assistant (GTA) is needed for each course. It is possible
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. Introduction to the Big Data Era & Opportunities for Better Health Care 2. Health Data and Visualization 3. Health Data Analysis and Machine Learning A Graduate Teaching Assistant (GTA) is
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
skills. Excellent analytical and problem-solving skills. Familiarity with technology and emerging trends in machine learning and artificial intelligence applications within academic libraries. Active
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with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing