240 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" research jobs in Canada
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: The research assistant will be responsible for developing detailed data analysis plans, data preparation (linkage between data sources, clean up, operationalization of intermediary and outcome measures, and
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banks. Assist with managing and securely storing project data and datasets. Analyze and interpret research data, ensuring quality and reliability. Perform specific laboratory work or technical tasks
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digital health interventions. Lead and support study protocol amendments, including theory development, data collection planning, analytic strategies, and ethics submissions. Collect, manage, and analyze
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technical equipment, including confocal microscopes, data storage servers, computational workstations, and high-content imagers. They will also support the day-to-day operations of the laboratory, which
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protection data in a cohort of over 10 000 dyads of young mothers and their children to investigate health factors associated with the continuity of child maltreatment across generations in Quebec, Canada. Job
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documentation. Independently performs sophisticated neurochemical analysis of brain microdialysis samples using HPLC using chromatography data systems and performs essential quality control checks (e.g., external
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techniques are considered an asset. Experience with bioinformatics approaches to biological data and familiarity with the handling of genomics and next-generation sequencing data will be an advantage
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of data, assists in preparation of grants, ethics application, summary reports and publications. WORK PERFORMED: Works in co-operation with members of the research team and following research ethical
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research activities, progress and implementation of study procedures Support team in conducting data collection using Qualtrics. Literature reviews Analysis of quantitative data using SPSS. Assists in
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of Dr. Richard Lester, MD, FRCPC, the Postdoctoral Fellow will lead a research program titled: Advancing Patient-Centered AI: Validating NLP Models Using Clinical and Communication Data in British