Teach machine learning for biomedical research at the University of Toronto’s St. George campus, using Python and computational instruction.

This Winter 2027 Sessional Lecturer appointment supports graduate Health Sciences students. The course introduces fundamental machine learning principles, biomedical applications, and Python-based algorithm deployment. You will strengthen students’ computational foundations for medical research through lectures, seminars, and practical assignments.

Key Responsibilities:

- Prepare and deliver lectures and seminars
- Create courseware and develop assignments, tests, and examinations
- Mark student work and submit grades
- Manage the Quercus course site and materials
- Maintain reasonable student contact outside scheduled hours

Requirements:

- PhD in computer science or health science
- Solid machine learning and biomedical research background
- Programming skills in Python for assignments
- Leadership curating technical material for audiences
- Research workshops demonstrating technical organization

Apply machine learning, Python, and biomedical research expertise while teaching foundational computational skills to graduate students.

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📌 Machine Learning Biomedical Research Lecturer (Toronto)
🏢 University of Toronto
📍 Toronto