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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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systems in the community Studying health disparities and outcomes using epidemiological data The University of Sydney are seeking two part-time (0.4FTE) Research Assistants to join EPIC-ND, a MRFF-funded
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