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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
- University of Toronto Mississauga BTC1878H › Health Data Visualization with Tableau In this course, we discuss data analytics and visualizations using Tableau Desktop and Tableau Prep software. We survey
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learning/software, machine learning in production, introduction to reinforcement learning and data science methods/quantitative analysis. Experience with biomedical applications of deep learning would be
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software releases; monitors system performance using a variety of appropriate methods, remediates or refers issues as required. Participates in development of LSP policies and procedures; ensures LSP issues
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managerial authority over the staff in the associated work unit. REQUIRED QUALIFICATIONS: EDUCATION: University graduate or combination of formal education and experience. EXPERIENCE: Minimum of five (5) years
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powered /energized resources. Ability to exercise judgement in determining the techniques and methods used. Solidworks CAD modeling and drawing training in a formal setting such as College or through
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
on program efficiency and student learning outcomes to inform program planning activities Developing a comprehensive formal training program that supports operational objectives (e.g., coordinating
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, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related to delivery of predictive
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powered /energized resources. Ability to exercise judgement in determining the techniques and methods used. Solidworks CAD modeling and drawing training in a formal setting such as College or through
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, assisting with holiday cards and other engagement methods, tracking stewardship activity and maintaining accurate records, preparation and follow up for donor events, setup and amendment of award records
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relevant to healthcare settings. Through this course, students will review common statistical methods used in health research and get familiarized with using SAS to implement these methods for data analysis