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data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data
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for Robotic and Autonomous Perception This project aims to make robotic perception systems safer and more reliable by developing new techniques that continuously monitor the performance of their machine
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group to work on a project developing provable network security methods that use higher-order graph-based abstractions to model networks and network security problems. Scalable algorithms developed
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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will need: Developed organisational skills and initiative, including strong attention to detail and the ability to prioritise tasks and to meet deadlines, often with competing demands, in a complex team
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development. The role will require the application of a number of advanced gene-editing, developmental assessment and proteomics techniques across both blood and gametocyte stages of development. The project
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. Quantitative researcher with experience in primary care. The Discipline of General Practice supports teaching, research, clinical practice and the development of better prevention and public health policies
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have detailed working knowledge of plant transformation services. The role will be responsible for developing and introducing new transformation services and will collaborate closely with a team focused
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resilient farming systems. This role will drive research and development of cutting-edge agricultural machinery, enhancing productivity and environmental sustainability across key agricultural sectors in
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong