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The successful candidate should have a PhD in cardiovascular physiology and/or spinal cord injury biology. They should have strong hands-on skills in performing, analyzing and interpreting common cardiovascular
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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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The successful candidate should have a PhD in cardiovascular physiology and/or spinal cord injury biology. They should have strong hands-on skills in performing, analyzing and interpreting common cardiovascular
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environment 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
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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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into broad discipline categories: cellular and molecular biology chemical, biomedical and materials science engineering chemistry civil and industrial engineering computing sciences electrical engineering
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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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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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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