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questions. Develop and/or adapt machine learning and deep learning approaches for fire behaviour prediction, climate downscaling, or remote sensing data analysis. Develop reproducible computational workflows
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At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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reconstruction techniques; experience with multi-nuclear image reconstruction, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A
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University of British Columbia | Northern British Columbia (Fort Nelson), British Columbia | Canada | about 16 hours ago
geochronological approaches to problems across the full breadth of hard-rock geology are welcome, including deep-time crustal evolution, tectonic tempos, igneous and metamorphic systems, ore deposit
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to fundamental 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
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transformative potential in medicine, biotechnology, and the life sciences. We seek outstanding candidates with an innovative and impactful research program integrating deep learning and AI-driven