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of the investigators. QUALIFICATIONS Completion of a PhD degree in an appropriate field that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical
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emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding of
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to perform technical writing and editing duties. Ability to effectively use MS Word, Excel, Outlook, Internet searches at an advanced level; experience with REDCap and data analysis using statistical software
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that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding
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of the art data science and statistical approaches in the context of emerging frameworks for detecting and attributing biodiversity change. Sentinel Postdoctoral researchers will be co-advised by UBC
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Neurosurgery, the other Principal Investigators (PIs), and the Research Director. This position works with pediatric neurosurgeons, the research director, clinic nurses, consultants in statistics, imaging and
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the catch reconstructions based on the most current fisheries statistics published by the Food and Agriculture Organization of the United Nations (FAO). We are searching for a candidate to join an integrated
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and experience. The ideal candidate will have: a strong quantitative and statistical background in economics; be comfortable reading substantial amounts of text, have training in econometrics; aome
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, or related field. Strong qualitative and quantitative skills including socio-ecological research design, data analysis, statistical analysis and data management. An interest in interdisciplinary research
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, or related field. Strong qualitative and quantitative skills including socio-ecological research design, data analysis, statistical analysis and data management. An interest in interdisciplinary research