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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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. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental
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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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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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, 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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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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. 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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methods and co-design; · Demonstrated skills in data management; · Education/training and experience in qualitative and quantitative research methods; · Excellent communication skills
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information about the laboratory can be found here Epigenomics Laboratory (EGL) . Project This project is part of a multidisciplinary research program aimed at understanding the epigenetic and clonal evolution
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the natural sciences. While our initial exploration focuses on Chemistry, the core research addresses fundamental problems in how AI systems retrieve complex information, reason over it, and autonomously