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to: work on the ARC DP project on approximation theory of structured neural networks work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression
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, translation and engagement. It combines time for the scholar to develop their own work through publication and grant activities, with structured involvement in the Trust’s funded research projects and public
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strategic importance for the Institute You may have experience in any of a range of complex project settings, such as aerospace, transport, construction, defense, or software organizational dynamics
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and computational methods to investigate structures present in large networks. We are particularly interested in using techniques from complex systems, network theory, statistical physics, mathematical
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the academic program structure and courses for the undergraduate and postgraduate programs. You will be supervised by Dr Nader Naderpajouh, to provide close collaboration across a range of disciplines