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burden. This PhD project will be part of or augment a larger NHMRC Investigator Grant project ('Better feet, better lives') that aims to develop better predictive models that help identify people with
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-Height Ratio (KBR) have shown promise in predicting patient outcomes. While skeletal muscle measurements like PMD are valuable, the inclusion of organ metrics such as KBR suggests a comprehensive approach
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and children's observed birth events and their actual health and well-being outcomes. The latest machine learning and artificial intelligence advancements can mine these datasets to create prediction
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to these various dangers, to inform the design of, and test, mathematical models that will be generally applicable across a larger cross-section of important species of bacteria. Modelling Evolution – Predicting
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predictably to in-context demonstrations? What controls their ability to generalize, even when it contradicts their training? This project will involve developing a theoretical framework to explain in-context
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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simulations predict millions to hundreds of millions of stellar-mass black holes roaming through our Galaxy. However, there are only ~100 found so far. It is not currently clear whether this stark gap is due
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ability to predict locust band movement. This project will focus on modelling the collective movement of locust hopper bands (thousands to millions of organisms). We will improve on current models through
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well as an informed understanding of the losses that have already occurred. If possible, the project could extend to predicting (based on past experience) which portions of the Adelaide Park Lands might be most at risk