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Winter 2027: Sessional Lecturer: LMP1210H: Basic principles machine learning biomedical research

University of Toronto - Woodsworth College · Greater St. George Area · 4 days ago
EducationFull-time

About the role

This course is intended for graduate students in Health Sciences to learn the basic principles of machine learning in biomedical research and to build and strengthen their computational skills of medical research. The course aims to equip students with the fundamental knowledge of machine learning (ML). During the course, students will acquire basic computational skills and hands-on experience to deploy ML algorithms using python. Students are expected to be familiar in python prior to taking this course. Students will learn the current practices and applications of ML in medicine and understand what ML can and cannot do for medicine. The goal of this course to establish an essential foundation for graduate students to take the first steps in computational research in medicine.

Campus: St. George (Downtown Toronto) | Department: Dept of Lab. Medicine & Pathobiology | Faculty: Temerty Faculty of Medicine | Session: January 1, 2027 – April 30, 2027 | Positions: 1 position × 0.25 FCE (co-teaching) | Estimated enrollment: ~30 students | TA support: Not applicable

Responsibilities

  • Preparation and delivery of course content, including lectures and/or seminars; creation of courseware; the development and administration of assignments, tests and examinations; marking and grading of student work and the submission of grades to appropriate University officials, maintenance of reasonable hours of student contact outside of scheduled contact hours.
  • Creation, maintenance and management of the Quercus site for the course, collecting material from the lecturers in advance and posting lecturer slide sets (power points), handouts, reading lists, journal articles and bibliographies and preparing other course content as required.

Requirements

  • PhD in computer science or in a health science discipline with a strong background in machine learning and its application in biomedical research.
  • Programming skills in Python are required for the assignments.
  • Demonstration of leadership in curating technical material to present to an audience as demonstrated by the organization of research workshops.

Qualifications

  • Extensive research experience with published research papers applying ML in biomedical research is strongly preferred.
  • Experience creating and maintaining a website that highlights the course requirements, announcements and grade breakdown.

Pay

Salary (0.25 FCE - Course Will Be Co-taught):

  • Sessional Lecturer I - $4,998.74
  • Sessional Lecturer I - Long Term - $5,349.61
  • Sessional Lecturer II - $5,349.61
  • Sessional Lecturer II - Long Term - $5,476.98
  • Sessional Lecturer III - $5,476.98
  • Sessional Lecturer III - Long Term - $5,614.45

Note: Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Schedule

  • Class schedule: Wednesdays from 11:00 AM – 1:00 PM
  • Sessional dates of appointment: January 1, 2027 – April 30, 2027

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