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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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outcomes in Québec. Working with population-based administrative health data, the successful candidate will lead epidemiologic analyses using comprehensive RAMQ and MED-ECHO linked databases containing
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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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, structured phenotypes, medical terminology, ICD codes, and available omics and health-data resources to detect patients with clinical patterns suggestive of hEDS/HSD. The position is inspired by recent
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: Initiate new projects in the lab and collect/interpret data for grants (CIHR) and publications. Get involved with ongoing lab projects as much as possible, providing scientific expertise and technical
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genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health record data across UK Biobank, All of Us, CLSA, and
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human brain tumor samples at different stages of progression and after exposure to therapies. The postdoctoral researcher will have opportunities to lead projects, devise data analysis strategies, and
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Research Fellowship expires 5 years after the date on which their PhD was awarded, regardless of when they are hired. Refer to the following link for further information on eligibility criteria: Eligibility
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; coordinating with national partners and stakeholder organizations across Canada; assisting with planning and delivery of a national symposium; conducting quantitative and qualitative data analyses; preparing
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work closely with ABIF imaging scientists to advance facility capabilities, support users through training and consultation, and lead innovative technical development projects. More information about the