19 machine-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs in Canada
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to projects involving: multi-omics analyses (single-cell, cell-free RNA/DNA, methylation, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine
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community. More information about the School of Graduate Studies is at: http://www.sgs.utoronto.ca/Pages/default.aspx Your opportunity: This is a unique opportunity for an administratively skilled
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biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries with clinical implementation. Vancouver is a vibrant coastal city located on the traditional
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 hours ago
of computer literacy, including proficiency in Microsoft office. Excellent verbal and written English communication skills, with an ability to prioritize tasks and manage time efficiently. Self-directed and
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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Shrum building and the Biomedical Research Centre (BRC). For more information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . The position will require the incumbent
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, organization, cleaning, and management of speech and language datasets. Support the development, testing, and refinement of machine learning and artificial intelligence models. Conduct literature reviews related
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
biology; Translational immunology Treg biology Excellent organization skills, along with an outstanding level of accuracy and attention to detail. Computer experience required (word processing, spreadsheet
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses