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of tutorials and class discussions; Consult and communicate with course lecturer; Assist students learning; Effectively communicate with students; Respond to student inquiries by email, myCourses, Microsoft
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of tutorials and class discussions; Consult and communicate with course lecturer; Assist students learning; Effectively communicate with students; Respond to student inquiries by email, myCourses, Microsoft
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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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in artificial intelligence (AI) and/or machine learning. · Ability to support grant applications and ongoing research project development as well as prepare manuscripts, policy briefs, technical
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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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experience, as well as an established early research career (i.e., publications, previous funding) in functional neurosurgery investigation and in particular, computer-brain interface paradigms and technology
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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. Job Duties The successful candidate will be involved in the academic activities of the McGill University Department of Neurology and Neurosurgery, Division of Neurosurgery, Brain-Computer Interface. The
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or information technology. The course will cover material that is relevant to health informatics and focus on the understanding of hardware and software systems. We will focus on the proper design and
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). The candidate will be working on developing state-of-the-art methodology in clinical prediction modeling, including novel uncertainty assessment method (Value of Information analysis), as well as Machine Learning