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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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algorithmics project group. Ultimately, we aim to expand these techniques into time resolved studies to explore the dynamics of biological systems. We are equipped with a double aberration corrected 300kV Cryo
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learning, new algorithms, and AI for Science. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine
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, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity. Applied