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approaches and tools, • Experience analyzing large-scale genomic data (including next-generation sequencing and/or genome-wide genotyping datasets), • Strong computer programming skills (R/Python preferred
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evaluate large-scale models using a suite of forward and inverse modeling methods. The position is expected to begin as soon as June 1, 2024. Applications will continue to be considered until the position is
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, co-morbid neuropathologies). The project will leverage existing large open or local datasets (UKBB, PPMI, FoxInsight, QPN) and apply a disease modelling approach to examine the effect of host factors
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partnership network and conduct resource availability and needs assessment, 2) design a biodiversity data strategy linking multiple sources of ecological, social, and economic information to support regular
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particular focus on synthesizing and harmonizing existing subnational data (including through stakeholder engagement) needed to better represent agriculture management practices, food processing, livestock
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-targeted analysis of chemical contaminants from plastics“. Non-targeted analysis, using high resolution mass spectrometry and advanced big data processing tools, allows for the rapid characterization
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cancer. The postdoc will work with established primary care data from the Clinical Practice Research Datalink. The specific project, funded by the Canadian Institutes of Health Research, focuses on the use
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research challenge. Year 1: The PDF will focus on combining biodiversity, ecosystem, climate, social data, and using analytical tools and models to detect and attribute change in ecosystem services. Tools
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health trajectories from big health record data using advanced AI methods Professor Yue Li is hiring one Postdoc for the machine learning and AI research in healthcare. The position will be held
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, and information ecosystem studies. MEO has been delivering large-scale information ecosystem research projects in Canada since 2019. It combines large-scale online data analysis with survey research