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novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
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emotional health outcomes (including self-concept and anxiety). This includes validating new psychometric tools developed by Dr Caruana and Prof. McArthur for measuring reading engagement and emotional health
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the ARC Research Hub for Value-Added Processing of Underutilised Carbon Waste, which is established in 2024 with the aim for developing advance upcycling technologies and associated regulatory and social
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underlying multisensory learning. Develop and test protocols for multisensory stimulation that can be applied in clinical environments. Assess the feasibility and effectiveness of these protocols in real-world
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medical education, research, clinical practice, community engagement and the development of better prevention and public health policies in rural and remote areas. This position will act as a project
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and Development package of $13,000 per annum. In addition, this program offers: A 60-day Industry Engagement component with the industry partner (Gold Hydrogen Limited), and A structured professional
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inorganic semiconductors, in order to develop a general understanding of the effects of external stimuli on the photophysical properties of these types of semiconductors. This IRTG provides an outstanding
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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an Australian Research Council Future Fellow and the Head of the Herbicide and Antimicrobial Innovation Laboratory. Her laboratory focuses on developing innovative strategies to mitigate the rise in
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, there is an urgent demand for accurate data on ion-beam collisions with atomic and molecular targets for the development and maintenance of fusion reactors, treatment planning in hadron therapy, and