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to the successful pursuit 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
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sciences/medicine disciplines Advanced knowledge of data science, statistics and machine learning Education or work experience in health sciences, health data analytics Excellent written and verbal
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The focus of the Students division is to serve and support the academic and non-academic growth and development of students. Our strength is in our approaches to peer-to-peer learning and student
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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computer systems, software, and databases; ability and willingness to learn new tools as required. Experience with website content management is an asset. Strong organizational and time management skills
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End Date. Job 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
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learning experiences in the Clinical Learning Resource Center (CLRC) and overseeing the work of other STs. This position is integral to providing and maintaining the clinical learning areas as high caliber
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, 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 creates the necessary
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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
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Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class provides an