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necessary. Provides information concerning ISS events and workshops. Maintains, updates records and files. Sorts, scans, codes, enters and verifies information. Ensures the accuracy and completeness
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guidelines. Maintains adherence to the UBC Food Services dress code. Carries out any other related duties as required in keeping with the qualifications and requirements of positions in this classification
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“Apply Now” below, no later than Tuesday March 17, 2026. *Please upload your resume and cover letter as one PDF. Please name your upload: FirstName_LastName-Job Code As an employer committed to employment
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: - Code customized survey website for follow-on study for the project titled ‘Generative AI in the Scientific Ideation Process (Internal SSHD)’. - Maintain the survey website for the duration of the study
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, Biostatistics and Occupational Health Course Title: Pharmacoepidemiology 4 Subject Code: EPIB 654 Location: tbc Schedule: (Monday to Thursday), 9:00am – 5:00pm Deadline to Apply: 2026-02-15 McGill University
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participant recruitment, scheduling, and documentation. • Support qualitative data collection, coding, thematic analysis, and knowledge translation. • Assist with scholarly output (abstracts, posters
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Title: Personality and Social Psychology Subject Code: PSYC 333 001 Location: Schedule: Mon-Tues-Wed-Thur Deadline to Apply: 2026-01-29 McGill University hires on the basis of merit and is strongly
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McGill University | Edmonton South Westmount Groat Estate East Northwest Industrial, Alberta | Canada | about 2 months ago
: Monteregian Flora Subject Code: BIOL 001 Location: Gault nature reserve Schedule: 13 days Deadline to Apply: 2026-02-12 McGill University hires on the basis of merit and is strongly committed to equity and
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wireframes, data-flow diagrams, flowcharts and test/use. Working knowledge of HTML, XML and CSS, and be comfortable working in the source code of web pages. Experience with SEO and GEO, with an understanding
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. Poor communication with patients could jeopardize their participation in the study. Inaccuracies or incomplete data collection, such as incorrect data entry or coding errors, could lead to erroneous data