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thematic analysis and Conversation Analysis (CA). You will also apply behavioural change models, such as COM-B and the Behaviour Change Wheel (BCW), to the co-design and implementation of training
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, machine learning models, and AI systems that address real-world challenges in banking and finance. Collaborate closely with CommBank representatives to understand industry needs and translate research
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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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and analysis, including large language model A history of successful competitive grant applications. Role Requirements You will require current work rights in Australia that match the tenure
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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record of publications in top-tier venues such as SIGMOD, VLDB, ICML, NeurIPS, ICLR, or TPAMI. You may also: Have a strong background in machine learning, particularly foundation models for spatial data
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initiative in mathematical biology, bringing together mathematical, computational, and biological scientists to make biology predictive; establish mathematical whole cell models (WCMs) for in silico biology as
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ