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research, education and community service on university and hospital campuses across BC. Together, we aim to create knowledge and advance learning that will make a vital contribution to the health
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. Successful candidates should have the ability to teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization; and will
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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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of many teaching and research awards, with strengths in the Department including algorithms, artificial intelligence and machine learning, data science, bioinformatics, computational neuroscience
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of departmental faculty performance and executes an analysis of individual vs. departmental peer performance via training background (MD vs. PhD) and rank (Associate Professor or Professor), etc. -Utilizing
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 months ago
staff members, and over 3,000 students. With the most programmatically diverse health faculty in Canada, our students are exposed to a broad range of health topics and learning experiences. The School
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, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
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psychosis across biological, cognitive, behavioural, and systems levels. Areas of particular interest include neuroimaging, computational psychiatry, artificial intelligence and machine learning, multimodal
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priority. MINIMUM QUALIFICATIONS: Education: PhD in statistical sciences, computer sciences, applied mathematics or data sciences, biostatistics, biomedical informatics, or related specialty. Experience
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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
QUALIFICATIONS The University of Toronto requires that candidates must have a PhD at the time of appointment, in one of the following fields: Health Informatics, Biomedical Informatics, Information