578 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" uni jobs at University of Toronto in Canada
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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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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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recording experimental data in shared databases or electronic notebooks Preparing laboratory equipment, and assisting with set up including arranging service and maintenance when needed Preparing reagents
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 12 hours ago
drawings and mechanical/electrical elements of buildings for compatibility and identify discrepancies Informing senior staff of impending deadlines or concerns Tracking and collecting information on project
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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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facilitate the integration of the software needed for seamless instrument and data management in the context of a world class AI-lead and industry-driven research environment. Ultimately, your work will help
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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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advisors through one-on one appointments, drop-ins, group advising sessions, or other programming. The Front Line Advisor participates in AARO team meetings to share information, enhance the quality