77 linked-data "https:" "https:" "https:" "https:" "https:" research jobs at McGill University in canada
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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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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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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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qualitative data collection and management, data analyses, analytics, reporting, and knowledge translation activities for health professions and health sciences education, health care systems, and health care
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documentation and information for each assessment session Data collection; including facilitating the virtual simulation-based assessment Coordinating the work of assessment evaluators Compensating participants
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of Communications Sciences and Disorders Position Summary: This job will be paid only for activities related to data entry, organization, and cleaning; transcription and translation; and other data
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interdisciplinary research environment combining urban studies, architecture, data analysis, and spatial modeling. Responsibilities: Complete and refine interoperable datasets for selected cities using available data
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trapping, light-scattering, and related aerosol measurement techniques with minimal supervision. Collect, analyze, and interpret experimental data, including measurements of particle size, refractive index
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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. Potential