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computer software packages (e.g. Microsoft Office) for lab documentation, data entry and analysis. Proficiency in computational analyses, including running tools on the command line, python programming, R
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Demonstrated experience in health data visualization, interactive
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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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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, 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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on-ground in Vancouver. Responsibilities: The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with