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continuously learn and manage large volume of information Well-developed computer skills are critical as the role relies heavily on the efficient use of several complex software platforms in time-constrained
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, troubleshoot, and optimize the systems to align with institutional needs and ensure compliance with reporting requirements. You will draw upon your technical knowledge, including proficiency with SQL for data
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for external research funding. Primary Purpose: Reporting to the Senior Research Specialist, the Research Specialist supports the development of competitive large-scale and institutional research proposals by
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technology; dedicated student study and lounge space; faculty research space; newly renovated library; and a large natural light Atrium for studying and gathering with friends. Position Profile Reporting
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operational needs. Works with a variety of internal and external users. Work Performed Identifies and develops research methods required to perform studies and ensure proper interpretation of data. In
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, troubleshoot, and optimize the systems to align with institutional needs and ensure compliance with reporting requirements. You will draw upon your technical knowledge, including proficiency with SQL for data
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Manager will play a central role in operationalizing a study that integrates multi-modal data and artificial intelligence (AI) for personalized cardiovascular care. The Project Manager acts as the
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human resource management experience is a preferred asset. Responsibilities: The Research Associate will contribute and play a key role in overseeing the national scale up of Small Steps for Big Changes
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deadlines are met for the Dean’s Office submission. Responsible for the financial information of the Division/Group: monitors the annual teaching budget to ensure budget is not over spent; tracks and prepares
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 9 days ago
of Openings: est. 1 Lecture Section: Thursday 5 pm to 7 pm Course Description: Topics include identifying, managing and exploiting information assets, the opportunities and limits of dealing with Big Data