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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.
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prediction). O3: Joint OOD detection + AL: Combine selection with OOD filtering/triage policies that decide what to label, what to defer, and what to reject. O4: Human- and compute-aware AL: Incorporate
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enhancements that empower users to drive the reasoning process and strengthen trust in the system’s reasoning. The Discovery Project will apply and evaluate these methods in two areas: medical and legal
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methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and nitrous oxide, a weak anaesthetic, on anesthetic-induced changes in brain mechanisms and networks
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partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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/fieldwork, survey research, computational methods, or policy analysis (as appropriate) excellent writing and communication skills Details of eligibility requirements, including English-language proficiency
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will receive a Research Living Allowance, at current value of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https