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on the qualifications and experience of the ideal candidate. Post-Doc Fellowship in Computational Oncology and Theranostic Vancouver, Canada The initial appointment is for two years and will be extended based
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to interview to determine avenues by which Quebec data could be included in the dataset. Participate in development of a manuscript reporting on this process and findings by assisting in drafting the methods
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candidate will have 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
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background in ecological theory and methods. Proficiency in R coding and experience with biodiversity data analysis. Experience in R coding, Python or Julia an asset. Pursuing a degree in biology, data science
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of 2SLGBTQ+ and other marginalized youth. The successful candidate will have a background in quantitative research methods and join a productive multi-disciplinary, mixed-methods research group with strong
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methods. Required Number of Hours: 120 hours Duration of Employment: July 7, 2025 - September 15 (10 weeks); with potential option to extend Qualifications (Skills and Abilities): Applicants will have
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soil and crop scientists, GIS specialists, remote sensing experts, and computer programmers. They will be responsible for: Conducting fieldwork using UAVs (drones) to capture high-resolution imagery and
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The Postdoctoral Fellowship program provides support for highly qualified postdoctoral fellows to engage in research that is in an area of clear relevance to arthritis and Arthritis Society Canada’s
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quantitative research methods and join a productive multi-disciplinary, mixed-methods research group with strong commitments to applied research that influence policy, practice, and health. The position
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methods and quantitative analysis Knowledge of Lime Survey, SPSS, NVIVO, and other similar software Pedagogical experience, such as developing educational materials, teaching university-level courses