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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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of the screen and into the world around us. With timely and contextually relevant information, people can make better decisions and perform complex tasks more effectively. To be considered for this opportunity
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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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, inclusive and effective understandings and impact in response to the urgent need to better plan for futures with and for people and other species, emerging technologies and climate. The Lab’s internationally
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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