Sessional Lecturer - BTC1889H - Deep Learning in Health

University of Toronto, Canada

Updated: over 1 year ago
Location: Downtown Toronto University of Toronto Harbord, ONTARIO
Deadline: ;

Date Posted: October 24, 2022
Req ID: 28106
Faculty/Division: School of Graduate Studies
Department: UTM: Master of Biotechnology Program
Campus: University of Toronto Mississauga (UTM)

Closing Date: 11/14/2022, 11:59 PM EDT

Course Code and Title: BTC1889H Deep Learning in Health

Course Description: This is an advanced course in machine learning that is focused on the application of neural networks in a health context. The course assumes a strong foundation to create machine learning models in the coding language R. Basic foundations of neural networks are reviewed. Students will learn about the limitations and the appropriate use of neural networks by working on health and biological related data sets.

Course Enrollment (est.): 12-15

Number of Positions: 1

Estimated TA Support (Hours): N/A

Qualifications: Experience required in teaching accredited courses at a recognized university. A PhD in statistical methods/biostatistics, and/or mathematics.  Advanced coding experience with “R” is essential.  Published research analyzing clinical trial data.  Experience working in a hospital environment.  

Duties: All normal duties related to the design, teaching and delivery of a University credit course including: Meeting with each of the student teams to guide/advise them on their presentations. Holding office hours as required. Marking/evaluating student presentations and written examination; recording student attendance; recording and submitting grades; and communicating with students on course related matters, for the Winter term.  Setting up R based tools for deep learning.

Sessional dates of appointment: January 1 – April 30, 2022. Classes to be held on Thursday evenings from 6:00 PM to 9:00 PM EDT. The delivery method for this course is currently in-person lectures.  Please note that, in keeping with current circumstances, the course delivery method may change as determined by the Faculty or Department.

Salary: $15,500 (includes 4% vacation pay)

Application Procedure: 

  • Download and fill out the General Application Form .
  • Submit the completed application form, together with your CV, to [email protected], MBiotech, UTM.  Include: ‘BTC1889H SL Application’ in the subject line.

    • Closing Date: 11/14/2022, 11:59PM EDT
    **

    This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

     It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

    Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

    Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.


    Similar Positions