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potential nominees to the RSC, who will make the final determination and inform successful candidates upon completion of their selection process. More information is available on the Royal Society of Canada
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) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity
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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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(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