75 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at McGill University in canada
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and training of interviewers, data collection, test administration (EPDS), conducts qualitative interviews, planning and preparation of research documentation, compilation of data and recruitment
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in Canada. Participate in the preparation of research documentation, including the development of a competency-matching rubric. Assist with the compilation and organization of research data by creating
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conduct study assessments and support data collection activities. Ensure the accurate and timely completion of research documentation and study records. Provide guidance and support to research participants
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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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: Department of Geography Position Summary: Assist with lab research and collecting data from the following tasks: Preparation (drying, weighing and grinding) of soil samples for measurement of carbon content
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: Department of Psychology Position Summary: Follow and refine study protocols that ensure ethical and high-quality collection of study data within the Tulip Lab. Manage and prepare research ethics board
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communicating with research participants. Coordinating research activities, including scheduling interviews, focus groups, training activities, and data collection sessions. Assisting in the preparation
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with these fish embryos (including preparing glassware, tubes, etc.), prepare and analyze samples for gene expression assays, and help with data management. Participate in group meetings. Qualifications
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: The Centre for Media, Technology, and Democracy at McGill University is seeking applications for a part-time junior analyst position with expertise in collecting and analyzing qualitative data on the Quebec
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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