1,611 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Canada
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upon approval. 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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demonstrated ability to learn new software applications Demonstrated ability to work with and relate to students, staff and a wide variety of professional groups Strong communication and interpersonal skills
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to generate, 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
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term duration. 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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Board submissions. Strong computer skills (Microsoft Office), database management (RedCap), qualitative data management packages (e.g. NVivo), data analysis software (e.g. SPSS, SAS). Proficiency with
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required. We are seeking qualified contract instructors to join our instructor pool. Each instructor will teach within their specific area of expertise, such as Business & Leadership, Productivity, Computers
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) solutions for Data, Analytics and Machine Learning projects. The following activities/skillsets will be key for the success of this position: PRIMARY: General Lab Management Answer Emails Organize folders
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Ability to analyze problems, identify key information and issues and propose effective solutions Excellent computer skills and willingness to learn to use new systems WORKING CONDITIONS Sitting at a desk
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of global leaders in quality, innovation, and AI. Students will apply these insights in class, participate in an innovation lab case and explore the foundational elements of Machine Learning (ML) in
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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 students. Our commitment to employment equity helps