3,365 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Canada
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| Faculty of Science Compensation Range $5,791.00 - $8,323.42 CAD Monthly The Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is
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- Project Coordinator Salary range: $95,000 - $110,000 Placement within the range is typically based upon a review of skills, experience, and internal equity. Hours per week: 37.5 Paid leave: 4 Weeks Vacation
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) of the School of Rehabilitation Science (SRS) and works closely with the other SRS Clinical Coordinators to develop and administer all aspects of the Occupational Therapy clinical education program, while
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of project process, by drafting proposals, briefing notes, and technical summaries. Improve internal processes to accelerate program development Ensure initiative alignment with SADT’s strategic goals. Event
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will have knowledge of: financial accounting principles and practices; financial management practices and internal control procedures; computer applications including Microsoft Windows, Word, Excel
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complex financial reporting, process management and administration for the Canadian federal and provincial student loans program and US federal direct loan program, and will also provide back-up support on
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commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Undergraduate or graduate degree in computer science or related field
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unreasonably withheld. If you are an internal applicant belonging to a union (CUPE 2424, CUPE 910 or OPSEU 404), please make sure to update your current union status in your candidate profile each time you apply
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: The Indigenous Studies (INDG) program is housed in the Community, Culture, and Global Studies Department of the IK Barber Faculty of Arts and Social Sciences. The position works independently, with initiative and
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preprocessing, cleaning, and reproducibility practices. Familiarity with national or international research computing infrastructures. Knowledge of responsible AI practices, including model evaluation, bias