578 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at University of Toronto
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of data extraction and appropriateness of supporting documentation. Ensure transactions are processed in accordance with government policies and procedures. To be successful in this position, you will have
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, collect and analyze data, ideate interventions, and evaluate the impact of these interventions. Estimated course enrollment: ~ 25 students Estimated TA support: not applicable Class schedule: 2-hour
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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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closely with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
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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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of our programs. Your responsibilities will include: Providing detailed information on program and training requirements Providing student support by acting as the first point of contact for general
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requirements to verify the accuracy and completeness of information and reconcile both salary and non-salary expenses. Your responsibilities will include: Processing invoices & expense reimbursements, and
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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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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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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