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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment
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analysis at all stages of data processing. The period of funding is 2-3 years, with 3 years being preferred given the complexity of the work involved. Applications, accompanied by a cover letter stating
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involved in the sub-project Application procedure An application package should include: A letter of application outlining the applicant’s research and teaching interests, (including a list of publications
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods
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and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods, and
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levels of teaching, learning and research. Nominees must be nominated by their prospective Faculties/divisions following the timeline and processes outlined below. While the nomination/application process
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Department: Electrical, Computer and Biomedical Engineering Position supervisor: Dr. April Khademi Contract length: 1 year (with possibility of extension) Hours of work per week: 36.5 About Toronto
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support during the recruitment process, please reach out to James McKay, Indigenous HR Lead at james13@torontomu.ca . Toronto Metropolitan University is committed to the principles of the Accessibility
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(AAAS) to manage the program’s application and peer-review process. Each year, the program attracts talented applicants from diverse STEM fields, representing some of the nation’s leading academic