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Staff - Union Job Category CUPE 2950 Job Profile CUPE 2950 Salaried - Grad Student Support 2 (Gr6) Job Title Program Assistant Department Administrative Staff | Department of Electrical and Computer
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findings of bibliometric, quantitative, and qualitative data Assist in the preparation of grant reports Qualifications: Must be a registered McGill student Experience with large, structured literature
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of large libraries of compounds (e.g. those designed and generated through automated synthesis, computer-based design, and machine learning) and supports users by providing full-time professional staff and a
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, and analyzing financial information as well as making recommendations based on findings Experience with forecasting and monitoring budgets to ensure expenditures remain within budgeted allocations
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 12 days ago
Position Details Position Information Position Title Part-Time Academic (INFO 3025 – Through the Looking Glass: Recognizing and Debunking of Conspiracy Theories) Winter 2026 Posting Number PTAP3126P
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 12 days ago
Position Details Position Information Position Title Part-Time Academic (INFO 2001 – Digital Society) Winter 2026 Posting Number PTAP3127P Department/Unit Information Science Location Halifax, Nova
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9 Nov 2025 Job Information Organisation/Company Trent University Research Field Biological sciences » Biology Environmental science » Ecology Environmental science » Global change Researcher Profile
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, and Multimedia. All groups work together to deliver efficient, adaptable, and reliable IT services. As the Business Analyst, your primary responsibility will be to acquire information via Discovery
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, algorithm development, and reporting using SAS and / or R programming languages, and experience with machine learning and large data analytics are important assets. A working knowledge of medical terminology
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following the specifications of the project’s analysis plans Extract and merge large data sets from different sources (administrative data, survey data, clinical data, etc.) according to data creation plans