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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary The Research Assistant assists the research team in
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University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | about 2 months ago
advances in artificial intelligence, machine learning and multidisciplinary design optimization for the synthesis of next-generation autonomous ocean and marine systems. The successful applicant will: • be
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digital records management systems is an asset ● Proficiency in standard computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis is an asset ● Strong
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
simulation and lab learning experiences (e.g., instruction and demonstration of nursing skills) in undergraduate programs; incorporate best practice and evidenced-based research in simulation program
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
analysis, computer vision or artificial intelligence, have at least 5 years of practical or research experience in AI, have a prior publication record as first or senior author in AI and prior experience
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underpinning fundamentals such as fluid mechanics, dynamics and control with application of recent advances in artificial intelligence, machine learning and multidisciplinary design optimization
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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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lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer
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opportunities for students, staff, faculty and community members across the three campuses. In achieving this vision, the Faculty is guided by values of integrity, respect, equity and diversity https
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architecture, computer science, engineering, human–computer interaction, public history, and information technology. This diversity and commitment to multidisciplinarity have created a unique research and