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research mobilisation through events, presentations, and collaborative initiatives. As the successful candidate, you will bring strong analytical and research design skills, along with a track record of
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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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Intelligence and Statistics (AI+STATS 2001), pp253-260, Key West, Florida, U.S.A., Jan. 2001 P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes, Proc
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: 04EX783), pp439-444 Frey and Osborne (2013) Frey and Osborne (2017) P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes, Proc. 16th Australian Joint
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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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in Rail Technology – Join the IRT Team The Institute of Railway Technology (IRT) at Monash University is seeking a Senior Data Engineer to lead the design and delivery of high-performance, scalable
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learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the
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professional with: Extensive experience in industry engagement, research collaboration, and securing competitive funding. A proven track record in business development, including contract negotiation
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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culture fosters excellence, with strong research support, industry partnerships, and a proven track record of publishing in top journals. We are seeking to appoint a Lecturer (Level B) or Senior Lecturer