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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section. About the scholarship This project investigates how 21st-century media changes
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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acute pathology. The development of such a molecular imaging probe for direct and sensitive detection of fibrosis during the early stages of pathology would represent a true breakthrough in the field
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copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of your Australian passport, Australian Permanent Resident Visa or Australian/New Zealand
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, nominate Professor Keogh as your proposed principal supervisor, and copy the URL link to this scholarship website into question two of the financial details section. About the scholarship This PhD project
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networks. C2 research that better reflects the rich dynamics and complexities that occur in real-world contexts has the potential to result in major benefits for many sociotechnical systems. Therefore