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or related field. Track record of publication related to eating disorders/mental health. Strong skills in statistical analysis Fluent in written and spoken English and demonstrated excellence in writing
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planning, designing, and implementing research protocols, sample collection and processing, data management and statistical analysis, writing manuscripts and reports, and delivering presentations. Education
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on the statistical analysis for multiple projects involving large scale databases from various cohorts, including but not limited to traumatic or hypoxic brain injury, spinal cord injury, Alzheimer’s disease and
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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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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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assessments of biodiversity status and trends; 3) deploy statistical and geospatial analysis tools to produce an integrated monitoring network design and sampling strategy to complement existing monitoring
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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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, 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