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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention. Despite many studies introducing various APR techniques, much remains to be learned, however, about...
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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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techniques to design new and efficient algorithms that can provide strong protection during the entire life cycle of ML models used on the devices. Research Task I: Investigate ML algorithms and optimisations
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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, National Disability Data Asset) experience with meta-analytic techniques. Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions
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such as Active Campaign, Meta Business Suite, Canva and WordPress is highly advantageous. Professional writing and communication skills, with the ability to prepare clear, accurate and timely communication
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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published in JAMA Psychiatry entitled “Prevalence of Perinatal Depression in Low and Middle Income Countries: a Systematic Review and Meta-analysis ”. Dr Arun Sett was awarded for the 2023 paper published in