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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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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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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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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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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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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's
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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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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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, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially