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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats
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. Crank Group will provide re-identifiable, de-identified demographic information, NDIS plans, coaching transcripts and other datasets from their Crew members to enable the development of AI-augmented
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first receive an invitation to apply from the relevant faculty before beginning your application. To apply and find more information visit our How to Apply website or contact our Graduate Research
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submitted by the specified deadline. If you are a new applicant, you must first receive an invitation to apply from the relevant faculty before beginning your application. For more information visit our
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promises to enhance feedback practice by providing real-time data and insights into learning behaviour and outcomes, so as to inform educational interventions. However, the feedback loop remains open without
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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the research, development, deployment ,and use of AI systems in law enforcement (LE). A major focus is expected to concern the acquisition, use, sharing and governance of data for AI in this context. The Faculty
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in nature, we seek to rapidly translate our research into real-world solutions to significant threats to community safety. PhD students will not directly handle this data as, in many cases, it is
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interested in exploring how deceptions, such as camouflage or mimicry, have impacted the evolution of species. Recent advances in the modelling of deception, using information-theoretic techniques, allow