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PhD Opportunity This project will involve epidemiologic analysis of Flu-Tracking to explore how symptoms of acute respiratory infection have changed over time, who is most impacted, and where
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publication Strong programming skills and familiarity with machine learning or finite element modelling Not currently receiving another scholarship of equal or higher value Application process Future student
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% and substantial research component. 2. Applicants must be personable, work well under supervision and be willing to work in a collaborative environment. 3. Applicants must demonstrate
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integrated with, or operate alongside, metal detectors to deliver cutting-edge detection capabilities. Applications of this research include: Detection of subsoil layers, utilities, landmines and IEDs, UAV
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
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eligible applicants must: • have completed an Honours Degree with First Class or 2A Honours, or equivalent level, or a Master's degree with a significant research component; • have applied, or currently
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research component from a recognised institution and in a cognate discipline. Have a strong interest in undertaking a three-year research project focused on Australian media use, which requires well
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align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students
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Australian police custody and young people. The project is a component of Dr Shelley Walker’s Australian Research Council (ARC) Discovery Early Career Research Award (#DE240101056 ). The National Drug Research