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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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Primary supervisor David Dowe Co-supervisors Dr Hieu Nim (Murdoch Children's Research Institute) Prof Mirana Ramialison (Murdoch Children's Research Institute) Research area Data Science and Artificial Intelligence Congenital heart disease affects 1 in 100 babies. Spatial gene expression patterns...
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly generated data. The world will see all too many changes
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
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roles in both Australia and Hong Kong. In a parallel sporting career, Chris was also a two-time Olympian in 1976 and 1980 and the Head Coach of the Australian Track and Field Team at the Sydney Olympic
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) and data engineering for reproducible research. Familiarity with cloud/HPC workflows, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and
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) and data engineering for reproducible research. Familiarity with cloud/HPC workflows, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and