8 parallel-computing-numerical-methods "DIFFER" Postdoctoral positions at McGill University
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/ multi-ancestry methods to biobank-scale human genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health
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predicting short-term convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles
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interdisciplinary research project at the intersection of spatial computing, AI, and surgical education. This one-year position will focus on the research on next-generation educational technologies for
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health or social science discipline. Experience in health services research, knowledge translation, health policy, survey methods, mixed methods research, or stakeholder engagement would be considered
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Summary: The Brown lab is focused on developing and applying advanced bioimaging techniques including live imaging methods to diverse biological problems. The project will involve studies to understand
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, emergency management, or public health policy — someone who can lead mixed-methods research and translate findings into real policy change. Applicants must have: Possess a PhD (within the last 1.5
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, conference presentations, or other research outputs. Experience conducting independent research using qualitative, ethnographic, interpretive, historical, philosophical, or mixed-methods approaches. Excellent
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quantitative data analysis using large longitudinal and population-based health datasets, including the application of advanced statistical methods such as survival analysis and longitudinal data