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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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. Preferred Qualifications Extensive administrative and management experience supporting senior executives in a large, complex organization. Proven ability to handle confidential and sensitive information with
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a busy environment Capacity to 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
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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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enterprise ongoing. They must ensure: 1) patient confidentiality and safety; 2) Clinical data reliability and quality. Organizational Status The BCBWP is seeking a part-time (0.5FTE) Research Associate
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 10 days ago
prepare for our next big challenge, DARO seeks an experienced, detail-oriented individual who exemplifies a customer-oriented, hospitality-focused approach to stakeholders. This search aligns with
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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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of large corpora; modelling and interpreting psycholinguistic and historical language data; building models of sequences of words; computing similarity between languages; information retrieval and extraction
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 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