350 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Toronto
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. • Knowledge of or experience with pest/nuisance species management (ex. Canada Geese) • Experience with data collection and analysis. • Knowledge and experience using Saskatchewan environmental
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management virtually or in person in your community. Assisting clients through the Employability dimensions and career development journey. Collecting, recording and analyzing relevant data to make accurate
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opportunity: Advancement Services at DUA is responsible for finance and administration, facilities and space management, knowledge management, human resources, alumni and donor services and information
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financial reports Analyzing financial information to identify spending trends, discrepancies, and cost-saving opportunities, including comparing forecasted figures to actuals, conducting salary and benefit
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Writing routine documents and correspondence Collating and organizing data for various reports Scheduling travel plans and requesting appropriate accommodations Maintaining information on digital platforms
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to perform fast, thorough and accurate analysis and assimilate and compile large amounts of data/information in a short timeframe; Ability to accurately compile, compare, calculate, identify and summarize data
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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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Job Description available to USW employees upon request Date Posted: 12/19/2025 Req ID: 46469 Faculty/Division: Faculty of Arts & Science Department: Data Sciences Institute Campus: St. George
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. This position is based in our Regina office. In this role, you will be responsible for conducting in-depth research and providing comprehensive policy and data analysis to support key initiatives aimed
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internal contacts to resolve accounting, payroll and/or HRIS processing issues Identifying and analyzing data discrepancies and taking necessary actions to correct errors Preparing detailed data analysis