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program. Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions. Develop and/or adapt machine learning and deep
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questions in the solid Earth sciences. Candidates applying geochronological approaches to problems across the full breadth of hard-rock geology are welcome, including deep-time crustal evolution, tectonic
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/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Develop and evaluate deep learning or related AI methods that adjust BGC productivity, physiological parameters, and ecological terms within a process-based BGC framework while maintaining physical
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variant is involved in a disease phenotype informs clinical decision-making. Genome analysts require a deep understanding of genetics and of genomic methods, of the available databases and literature
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
of classes, tutorial sessions, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area