509 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at McGill University
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: Desautels Course Title: Data Mining and Visualization Course Code: INSY 662 Estimated Number of Positions: 1 Total Hours of Work per Term: 80 Hiring Unit: Desautels Faculty of Management Course Title and
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: Desautels Course Title: Advanced Topics in Information Systems Course Code: INSY 696 Estimated Number of Positions: 1 Total Hours of Work per Term: 45 Hiring Unit: Desautels Faculty of Management Course Title
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to student communications such as the weekly newsletter and ensure component information is shared with students in a timely manner. Ensure processes are documented and that SOPs are up to date Create and
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: salary commensurate with experience The Librarian provides a wide range of library and information services, drawing on the Osler Library’s extensive holdings, including 40,000 modern monographs and
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. Responsibilities: Assists with events such as meetings and training sessions, and event setup. Provides technical support for computer equipment and programs Assist Students with producing a successful Portfolio
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works closely with the Energy Manager to ensure data reliability and to support both operational and strategic energy‑related decisions. This position is essential to the maintenance and reliability
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and procedures. Resolve problems. Consult with appropriate internal and external resource people to obtain information on complex issues. Coordinate and process activities in relation to admissions
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, ensuring adherence to institutional policies and timelines. Maintains current knowledge of University and Graduate Studies policies related to graduate student affairs. Updates student records, performs data
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the smooth functioning of the unit’s operations. Responsible for documents and files of the unit. Maintains computerized information systems. Major Duties and Responsibilities: Acts as resource person
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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