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, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field
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have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement
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set the research direction and computational approach to the data. Qualifications: - PhD in Biology, Bioinformatics, Computer Science, Statistics or a related quantitative field. - Experience working
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to the research project. Qualifications and Experience: A PhD in an area relevant to the project (e.g., Indigenous studies, Science communication, Science education, Science studies), completed within the last five
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at research hospitals (eg. Study nurse, data collectors), and students. QUALIFICATIONS • PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal
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contribute to research outputs, stakeholder engagement, and project coordination in close collaboration with the project PI and international partners. Minimum Qualifications A PhD in Forestry, Environmental
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research teams to drive impactful studies Mentor trainees in different aspects of clinical research Minimum Qualifications PhD in public health or related field obtained within the last five years. Proven
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international scientists, clinicians, and public health researchers to make meaningful impacts to cancer detection, diagnosis, and treatment. Qualifications and Experience PhD in Bioinformatics, Computational
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of their programs. MA and PhD students may hold a CSRS fellowship only once during each degree program. Applicants may apply for fellowships at other centres at the university; however, because this fellowship
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Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self