342 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Toronto
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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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of meaningfully impacting internal medicine training and the care and health outcomes of patients and their families. As a Research Software Analyst, you will help advance data-driven research by applying
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will support the creation of analytics, automations and data visualizations to support departments, residency and fellowship programs and ongoing program evaluation within PGME. As part of our core
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. The anticipated start date is September 1, 2026. This is a two-year limited term position with possibility of renewal. Our research group works on superconducting circuit devices for quantum information processing
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registration information of all residents Updating and maintaining front desk porter's manual Performing routine building checks Coordinating staff schedule to ensure proper coverage Coordinating the recruitment
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the proper discharge of their duties. Qualifications Required: I. EDUCATION: A University degree in business, economics or information systems is required. A recognized accounting or auditing designation
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data, and drafting tax credit letters. You will also be supporting the MFRM, MMA and Mmgt programs’ projects and its operation. This includes supporting event planning and logistics, reviewing and
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. Your opportunity: Within DUA, Advancement Data & Reporting Services is responsible for divisional data quality, data acquisition practices and data entry standard. The Analyst is responsible
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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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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