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weekends and additional hours when required A high level of computer experience required (Word, Excel, Internet publishing softwares, email, PowerPoint, MS Publisher). Ability to learn and adapt to relevant
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End Date Ongoing At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
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sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve
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of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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of Zoom, Microsoft Word, Excel, Power-point (familiarity only) and the internet are essential, as well as comfort with learning new computer skills. -Strong verbal and written communication skills -Ability
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candidates whose research develops and applies innovative statistical, machine learning, or AI methods to solve complex problems in biostatistics, epidemiology, public health, or related areas. In accordance
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approaches including numerical analysis techniques, AI, and machine learning are necessary. Key Responsibilities: The position is responsible for design and implementation of electronic control, data
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, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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. Ability to develop and work with large clinical (i.e., registry data), research or administrative databases. Ability to extract and/or map EMR data (i.e. Epic, MEDITECH, and CERNER) or use machine learning