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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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artificial intelligence in health research. Responsibilities Assist with data preprocessing and analysis of large neuroimaging datasets Support development and evaluation of machine learning models in Python
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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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students enrolled in a graduate program at McGill University (preferably in Bioengineering, Mechanical Engineering, or Biological and Biomedical Engineering . Some experience with Python coding Knowledge
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in the course. Must be familiar with programming in Python. Must be willing to interact with students in the lab. Must also have good command English language and must possess good communication skills
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). The Bioinformatics Analyst position corresponds to junior members of the team with expertise in large-scale genomic analyses, software development using R and Python, and High-Performance and Cloud computing
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in conducting in-depth analyses using different teaching-related datasets through programming languages (e.g., R, Python, Matlab, etc.) to derive patterns and trends for evaluation and educational
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Proficiency in Microsoft Office and experience with statistical software (R, STATA, SAS, or Python). Strong organizational, communication, and time management skills. Ability to work independently and
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Qualifications Experience with hyperspectral data acquisition and analysis, including Python-based workflows. Familiarity with machine learning, data integration, and advanced visualization tools for exploration
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cross encoder architectures and retrieval augmented generation. Strong programming skills in Python and deep learning frameworks, familiarity with MLOps practices, data governance for sensitive health