131 parallel-processing-bioinformatics research jobs at University of British Columbia in Canada
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in the Division of Rheumatology, Ambulatory Care Building, BC Children's Hospital. Desktop computer and telephone access available. Flexibility in work hours may be required. Work Performed The
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excellence in organization and time management Demonstrated excellence in communication, conflict resolution and debriefing skills Demonstrated expertise in varied types of computer software (MS Word, MS Excel
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learn about the state’s policy development and implementation process and the private sector’s role in the innovation of health care delivery. Biweekly Meetings and Leadership Conversations: Throughout
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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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(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
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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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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
discipline The selected candidate must be able to work within a highly interdisciplinary environment, must have experience of working with biologists, applied mathematicians, computer scientists, biomedical