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, and industry audiences. Reproducible outputs including: Analysis protocol Validated questionnaire scoring framework Aggregated datasets (de-identified/synthetic) Statistical analysis code
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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Scholarship code: SRS-25035 This inaugural Industry PhD scholarship with the Department of Health and La Trobe University will be awarded to an outstanding Maternal and Child Health (MCH) nurse
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deep learning theory, Bayesian statistics, and generative modelling, this work will advance our understanding of both the capabilities and vulnerabilities of modern AI systems. This will have potential
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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individualized cancer care plans. Coding and user interface development skills will be developed. This scholarship is open only to Australian citizens, Australian permanent residents, or New Zealand special
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the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory and role theory to develop a comprehensive conceptual model for the process by which
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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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an ARC Discovery Project in conjunction with support from Curtin University. The purpose of the scholarship is to support a PhD student to carry out research in quantum collision theory. Currently