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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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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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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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) or fellowship application per academic year to either NSERC, the Canadian Institutes of Health Research (CIHR) or the Social Sciences and Humanities Research Council (SSHRC). Applications to the Banting
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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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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
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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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the laboratory Assist in the management of laboratory resources and maintenance of research protocols Qualifications/Requirements of Position Qualifications: PhD in Biological Sciences or a related field, with 0-5
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contributing 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
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Biology, Statistics, Genetics/Genomics, or a related discipline Proficiency with the following: long-read sequencing, short-read sequencing, and single-cell sequencing, including data generation and