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up-to-date, evidence-based, practical information on prescription drug therapy. The TI consists of 40 faculty members, staff and contractors, and conducts systematic reviews of existing drug studies
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and Context: Pediatric neuroimaging research has accelerated the demand for engagement in large multi-centre translational clinical research studies, to enable integrated data exploration and prediction
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Health and the IWK Health Centre in Halifax. The successful candidate will have an opportunity to be part of the Big Data Analytics, AI & Machine Learning research cluster in Computer Science, and the
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experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve
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skills, with demonstrated presentation skills to large and diverse groups; Ability to effectively provide information and advice to staff, students and general public, individually or in group settings
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program (i.e. Dietetic stream) and the BSc. Food and Nutrition program. Courses to be taught will be a mixture of small and large classes (e.g. Introductory Nutrition). Applicants are required to have
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collaborative, working closely with other research labs on large scale projects. Sources of data include large-scale datasets (All of Us, UK Biobank), internal BC-based projects (eg., Silent Genomes; Rare
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learning, learning strategies, science communication, etc. Gathering and summarizing information for planning and evaluation; Preparing project documents and reports; Advertising instructor and student
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analyses and modeling of large planetary data sets including visible and near-infrared imagery, synthetic aperture radar imagery, radar altimetry and LiDAR. The selected candidate will collaborate with
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to contribute to and expand research in planetary science in the Department of Earth, Ocean & Atmospheric Science. The position will involve quantitative analyses and modeling of large planetary data sets