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numerous publications in top machine learning, computer vision, and robotics journals and conferences. Their extensive knowledge and guidance will lead the student to the successful completion of the project
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makers across Australia and internationally. This project is eminently feasible and has real potential to lead to meaningful improvements in health services and outcomes for justice-involved young people
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suggest improvements that could lead to better health outcomes and more efficient resource use. Additionally, the project proposes to use time-series econometric methods to understand better the long-term
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and the role of key architecture components can lead to the development of more efficient and robust training algorithms. This can ultimately result in AI systems that are both more powerful and
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of the electric smelting process, to aid in interpretation of experimental results, and to assist in scale up. The CIMR is inviting applications for a PhD position in iron/steelmaking. We are seeking a highly
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the systematic development of fundamental movement patterns and in parallel are embedded into the health and physical education (HPE) curriculum. The Australian curriculum's recent revisions, underscores
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of expectancy violation and the role of participant control. Expectancy violation refers to the process whereby individuals recognize that their fears are often disproportionate to the actual threat, leading
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process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR Expression of Interest form to the project lead researcher, listed below
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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 beneficial effects of inorganic nitrate on health outcomes, including cardiovascular, metabolic and brain health [1,2]. Both inorganic nitrate and physical activity have been independently linked to protective