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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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. This project will advance our understanding of the conditions that led to reef growth, stress, collapse, and recovery during periods of rapid climate and environmental change, spanning multiple spatial and
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recovery during periods of rapid climate and environmental change, spanning multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences
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experience in project administration and coordination, including managing multiple projects at one time highly organized with strong time management skills and ability to work independently excellent
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submissions, grant/protocol writing, literature searches, using statistical analysis tools demonstrated experience in project administration and coordination, including managing multiple projects at one time
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excellent time management skills, manage multiple tasks and meet competing deadlines by using judgement and initiative excellent written and verbal communication skills, with a high level of attention
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(10kHz) as well as standard PIV, LDV, PDA, Raman, Rayleigh and LIF. Computational capabilities include Large Eddy Simulations (LES), Probability Density Function (PDF) and Multiple Mapping Conditioning