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in duration. Each course is offered three times through the calendar year. We anticipate each course cohort to be up to 25 students. The courses are: 1. Introduction to the Big Data Era
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. Introduction to the Big Data Era & Opportunities for Better Health Care 2. Health Data and Visualization 3. Health Data Analysis and Machine Learning A Graduate Teaching Assistant (GTA) is
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epigenetics, genomics, multiomics, big data and machine learning an asset. · Is willing to learn new techniques and novel analysis methods for application. · Skills in R required. · Experience
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of building school pride and driving game attendance. We have several large-scale events that we promote and support during the school year along with a steady schedule of games that take place each week during
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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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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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relevant to diverse datasets. Experience with genomics, multiomics, big data and machine learning an asset. Is willing to learn new techniques and novel analysis methods for application. Skills in R required
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Description Summary This role is for a Research Manager of the CART How Far is Too Far (HFITF) Project - a large, international four year CIHR grant funded project coordinating multi-site activities and a range
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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