68 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at McGill University
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facilitate successful project implementation. Analyzes and interprets research data and disseminates results. Manages, cleans, quality-assures, links, and analyzes environmental, health, and survey data using
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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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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 1 month ago
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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processing for proteomics assays. Performs data collection, test administration, planning/preparing documentation, and data compilation. Analyzes and interprets research data and disseminates the results
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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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ensuring data quality and reproducibility. · Develop reproducible analytical workflows and well-documented code using R , SAS, STATA and/or Python. · Conduct advanced statistical analyses