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the Faculty of Science. We will apply Bayesian approaches such as the information-theoretic minimum message length (MML) principle and other approaches to develop a path towards statistically-optimal algorithms
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. Among the approaches used will be the Bayesian information-theoretic Minimum Message Length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) References: Wallace, C.S
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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background, preferably within the Higher Education or learning and development sector. Experience in sales reporting and analytics—such as tracking activity, revenue, performance, and forecasting would be
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potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
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, and Rail-optimised networks Ensuring operational readiness through system monitoring, validation, and seamless production transitions. Ensuring strong security practices through the implementation
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and supervisors, read about our research strengths and initiate an application, all in one place. Browse Research projects Supervisors Login Recently added Bayesian Generative AI Explainability and
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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the relevant field, and recognised experience in the discipline. You will have a strong publication record in high-quality journals & a successful track record in obtaining research grants. Your