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the optimisation strategies to enhance the performance of complex machine learning models such as deep learning model and large language model. Applicants need to have strong background and track records of research
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this heterogenous sleep disorder. We will use these novel sleep technologies to deliver targeted treatments that are more effective at treating the underlying pathophysiology than current one-size-fits-all clinical
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
of the Bacterial Cell Envelope – From Molecular Structure to Metabolic Function: The cell envelope is the interface between a bacterial cell and its environment. MACSYS is currently modelling the structure and
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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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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, resulting in faster and more cost-efficient signal modelling. However, embedding physical constraints within the network architecture remains a significant challenge. Current research often integrates
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of cities. Develop the first national land use–transport interaction (LUTI) model for Australia. Evaluate policy scenarios involving HSR to realign population growth with sustainability goals. The selected
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Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration: You will receive a generous scholarship covering tuition fees and a tax-free stipend at current value of AU$37,000 per annum
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flow models, providing a reliable and efficient approach to designing photobioreactors with reduced trial-and-error efforts while increasing confidence in their performance. By optimising microalgae
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spectroscopic techniques, theoretical modelling, and precise synthetic control – have significantly improved the activity, selectivity, and stability of CO₂-to-alcohol conversion. Key catalyst systems include Cu