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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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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
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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
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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opportunity to work across both countries on a solution-driven approach to a problem identified under ten multidisciplinary themes related to the Smart Cities development. Opportunities for collaboration with
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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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to observational challenges in finding black holes or whether our incomplete understanding of black hole formation and evolution is also to blame. On the heels of recent breakthroughs in discoveries of black holes
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Institute, School of Population Health, and the WA Country Health Service. The skills developed during the PhD will provide the student with diverse future opportunities and will strengthen the capacity
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and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University (Perth, Western Australia). The objective of this project is to develop and test new methods
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the Australian Research Council, will focus on the development and testing of (U-Th)/He dating techniques applied to “non-traditional” accessory minerals in order to develop novel tools for Quaternary magmatic