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Application dates Applications close25 August 2025 What you'll receive You'll receive a stipend of $37,010 per annum (from 1 January 2026) for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months (PhD) if approved for your...
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-effective services to the aged CaLD community. The project aims to improve the lives and wellbeing of culturally and linguistically diverse (CaLD) persons living across Australia, so students from CaLD
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Cerebral visual
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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
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efforts; amplify Indigenous and community voices; and shape policies that are not only effective, but just and inclusive. By bridging knowledge systems and fostering creative public engagement, HASS
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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective