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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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integrating genomic and -omic data, echocardiographic imaging, and clinical information. This position will support the Multi-Omics and Sonography to Advance Integrated Cardiac Care MOSAIC Study, a newly funded
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. To learn more about these options, please contact the NRC Hiring team using the contact information below. The role NRC’s Herzberg Astronomy & Astrophysics Research Centre is excited to advertise
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about these options, please contact the NRC Hiring team using the contact information below. The role NRC’s Herzberg Astronomy & Astrophysics Research Centre is excited to advertise a Plaskett
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to individual variation in brain structure and function across development and ageing, and in neuropsychiatric disorders. The research will integrate human neuroimaging with genomic and epigenomic information
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indicators changes, psychological state improvement mechanisms of natural environment intervention on human bodies. The researcher will participate in full-cycle project design, data collection, empirical
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, environmental earth science, computer science, data science, atmospheric physics, or a related discipline. Experience in cold regions hydrology or water resources engineering and computational methods is
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. This role focuses on addressing the challenges of complex, heterogeneous data within the One Health framework. The successful candidate will join the research group of Dr. Elif Acar, contributing
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or manuscript in preparation) Contact information for two academic or professional references (letters may be requested for shortlisted candidates) Applications should be submitted to [email protected]
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methods and co-design; · Demonstrated skills in data management; · Education/training and experience in qualitative and quantitative research methods; · Excellent communication skills