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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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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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. The candidate will contribute to the development of empirically validated methods for identifying and mitigating such effects. The research will involve experimental studies, neurophysiological methods (e.g., eye
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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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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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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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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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) 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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through advanced analytics. This five-year initiative (2023-2027) is mainly funded by the Grains Research and Development Corporation (GRDC) with a $36 million investment and builds on the previous