569 linked-data-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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to data visualization for planning, using computer applications (1 credit course) Teaching Qualification Requirements: MSc/PhD degree in Urban Planning Teaching Experience Salary: $3,941.34 Dates: November
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Course Title: FMED 702 Analyzing qualitative data: learning inductive approaches Course Code: Estimated Number of Positions: 1 Total Hours of Work per Term: 0 Hiring Unit: Department of Family Medicine
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. Job Duties The successful candidate will be involved in the academic activities of the McGill University Department of Neurology and Neurosurgery, Division of Neurosurgery, Brain-Computer Interface. The
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data Administrative Support Create digital vouchers or promo codes when required Support information session pre and post reminders Create info session Zoom links Manage shared folders and document
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on-site and remote users in discovering, accessing, and effectively using library and information resources for teaching, learning, and research in music. Develop and maintain communication links and
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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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for interdisciplinary research, including through its links with related academic departments and research units in the McGill University Health Centre (including the Montreal Children’s Hospital) and the Montreal
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series, and campaigns. Assist with content calendar and creative planning sessions related to FMHS Create and edit graphics or visuals using Canva (or similar tools). Perform analytics using data reports
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. Canadians living abroad who wish to relocate to Canada are encouraged to apply. Application Process Applications must be submitted through Workday, McGill’s HR management system, using the link below. Use a
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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