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to investigate how employing visual, acoustic, and tactile stimulation on simple behavioural tasks could lead to improvements in cognitive functions such as working memory and selective attention, as well as brain
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candidate with a background in social anthropology, design anthropology and/ or visual anthropology, and an interest in developing innovative new research in futures anthropology to win a scholarship within a
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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of learnt features in deep neural networks. Specifically, we aim to: • Develop methodologies to interpret and visualize the features learnt by neural networks in a human-understandable manner. • Investigate
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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in