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Sessional Lecturer Position Posting Date: February 9, 2026 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Summer 2026, May to June Existing Vacancy: Yes
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registry), previously developed algorithms (e.g., converting all opioids dispensed to morphine milligram equivalents), and epidemiological and econometric methods (e.g., interrupted time series analysis
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to computational biology trainees, technicians, and graduate students, as appropriate. WORK PERFORMED Pipeline development: Design, develop, implement, and maintain reproducible multi-omics data integration
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also works in close collaboration with CMMI investigators, bioinformaticians, laboratory personnel, and research staff. The position will provide technical supervision and mentorship to computational
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
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, laboratory personnel, and research staff. The position will provide technical supervision and mentorship to computational biology trainees, technicians, and graduate students, as appropriate. Work Performed
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
Description About the Tutte Institute for Mathematics and Computing The Tutte Institute for Mathematics and Computing (TIMC) is a government research institute housed within CSE. TIMC’s mission is to conduct
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: The Canadian Center for Computational Genomics (C3G) is a bioinformatics core facility that offers bioinformatics services supporting the McGill Genome Centre and the wider genomics community. Within C3G
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experiments related to aerosol-cloud processes Analysis of data observation and modelling developed at McGill. Candidates must demonstrated experience in developing AI algorithms to significantly improve