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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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. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related
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. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop their leadership skills in the laboratory by participating in overseeing
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biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
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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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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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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
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: A PhD in forest operations, silviculture, forest management or a related field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis
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of data, creating diverse training opportunities. Interested applicants should have a PhD in biology, molecular biology, biomedical engineering, biotechnology, materials science, computer
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and