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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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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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) 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
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., Allen J., et.al. Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinformatics. 2018; 19(Suppl 18): 486. doi: 10.1186/s12859-018-2509-3 Chiu Y., Chen H., Zhang T., Zhang S
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., Allen J., et.al. Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinformatics. 2018; 19(Suppl 18): 486. doi: 10.1186/s12859-018-2509-3 Chiu Y., Chen H., Zhang T., Zhang S
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(mobile-edge-cloud continuum) federated learning architecture and develop context-aware models and schemes for optimising distribution, storage and processing of tasks and data in each layer. Required
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long-context and multi-step processing. This project studies reliable adaptation as a general feedback-mediated problem by distinguishing failures at the feedback source, during signal transmission and
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function are limited. This project works at the intersection of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches