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Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Demonstrated experience in health data visualization, interactive
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opportunities for collaboration with experimental neuroscience, experimental and theoretical physics and biomedical and electrical engineering. The applicant will have evidence of effectiveness in teaching and
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
QUALIFICATIONS The University of Toronto requires that candidates must have a PhD at the time of appointment, in one of the following fields: Health Informatics, Biomedical Informatics, Information Science
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into applications and impacts that benefit Canadians and the world. The Lunenfeld-Tanenbaum Research Institute at Sinai Health , a fully affiliated member of the Toronto Academic Health Science Network (TAHSN
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cutting-edge knowledge. Required Qualifications & Experience PhD in a relevant field, including Biophysics, Cell Biology, Neuroscience, Cancer Biology, Biomedical Engineering, Bioengineering, or related
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academic health sciences group on the university campus, with access to facilities including the Canadian Light Source and the Biomedical Beamline and Saskatchewan Centre for Cyclotron Sciences. For further