57 parallel-processing-bioinformatics Fellowship research jobs at University of British Columbia
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of consumers in research, both in their inclusion in grant applications and the peer review process. Applicants should consider this in their submission and are strongly encouraged to integrate input from
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welcomes and encourages applications from people with disabilities. Accommodations are available on request for all candidates taking part in all aspects of the selection process. For academic questions
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of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods, and multivariate statistical analysis; • Excellent communication skills
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implementation process and the private sector’s role in the innovation of health care delivery. Biweekly Meetings and Leadership Conversations: Throughout the year Fellows participate in a series of virtual
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potential nominees to the RSC, who will make the final determination and inform successful candidates upon completion of their selection process. More information is available on the Royal Society of Canada
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) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment
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and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods, and
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods