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to monitor levels of diversity, policies and processes for potential systemic barriers. Although completion of the questionnaire is mandatory and required before review of your application, each question
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. For more information, consult the Equity, diversity and inclusion considerations at each stage of the research process section of the NSERC guide on integrating equity, diversity and inclusion
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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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) 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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. At least one of these letters should report on the candidate's teaching abilities. The screening process will start on February 1, 2025, and continue until the position is filled. Interviews will take place
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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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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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older adults and climate change research. Advanced experience with qualitative data management and analysis software (e.g. Dedoose, NVivo), as well as experience using word processing software (e.g