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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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a background in qualitative research methods and program evaluation, with a strong commitment to applied research that influences policy, practice, and health. As well, a demonstrated background in
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patterns relate to landscape changes and permafrost dynamics - Test the hypothesis that spatial patterns enhance resilience to ecological tipping points, building on methods used in savanna and dryland
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on methods used in savanna and dryland systems - Collaborate with an international, interdisciplinary team of researchers, including PhDs, postdocs and senior scientists, to address broader project goals
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dedicated to building an inclusive community of scholars with an array of experiences, perspectives, and methods and welcomes a diverse pool of applicants. Terms Each year, five or six Academy Scholars