33 data-"https:"-"https:"-"https:"-"https:"-"Washington-University-in-St" Fellowship positions at University of British Columbia
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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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official information, regulations and procedures, visit the Banting website . To access the Vanier-Banting Academic CV template, visit the Canadian Common CV (CCV) site. Updated Thursday, July 3, 2025
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education. Fellows may engage in observational, instrumental, theoretical, laboratory or archival data research in any area of astronomy or astrophysics, in combination with a coherent educational plan for
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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facilitate access to relevant data, contacts, and organizations. Through their mentors, Fellows are affiliated with an institution — whether a university, think tank, health care organization, or government
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response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical
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engagement, and educational activities to explore how modern information and communication technologies (e.g. mobile and web-based applications, sensors, wearables, AI/ML etc.) can improve health care. Digital
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. Vancouver offers a vibrant research community and a high quality of life. Candidate: We are seeking a postdoctoral fellow with strong experience in electrophysiology/biophysics and relevant data and
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managing cardiovascular disease by integrating genomic and -omic data, echocardiographic imaging, and clinical information. This position will support the MOSAIC Study, a newly funded, multi-site provincial
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are exposed to increasing noise pollution and increased risks of ship-source oil spills. The goal of the project is to develop a method that allows to use disparate sources of data, ranging from aerial