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Adjunct Instructor (Python & Data Analytics Courses) - CCIS IT Program Calgary, AB Corporate Development, Applied Research & International – Centre for Continuing Education & Professional Studies
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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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repositories programmed in Python, Pytorch, LangChain using git repo. Develop clean, readable, and maintainable public code using object-oriented programming principles in Java and Python. Apply machine learning
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Information Systems or related field Experience : Extensive (3-5years) experience in analytics and Python-based instruction. Should have taught Python-intensive, analytics-focused courses. Should be able
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Information Systems or related field Experience : Extensive (3-5years) experience in analytics and Python-based instruction. Should have taught Python-intensive, analytics-focused courses. Should be able
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candidate will have strong data analysis skills, attention to detail, and an ability to work independently. Qualifications: Experience with data collection and cleaning • Programming experience in Python
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
framework. Experience with a common data science scripting language (Python, MATLAB, R). Python preferred. Assets Experience with data analysis tools, programming languages (e.g., Python, R), or database
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office hours • Helping students with Python • Updating course materials Qualifications: • At least two statistics courses • Comfort with regression analysis (knowledge of time series methods is a bonus
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proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience