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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49
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, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49
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: Robust uncertainty estimation: Improve calibration and uncertainty reliability under drift (e.g., ensembles, Bayesian approximations, conformal prediction). O3: Joint OOD detection + AL: Combine
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: Robust uncertainty estimation: Improve calibration and uncertainty reliability under drift (e.g., ensembles, Bayesian approximations, conformal prediction). O3: Joint OOD detection + AL: Combine
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Trustworthy Agentic AI frameworks that integrate multi-agent collaboration, large language models, retrieval-augmented generation (RAG), explainable AI, and uncertainty estimation to support evidence-based
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Universities compete on reputation, but there is no agreed way to measure it or assess who benefits. This project applies modern microeconomics, causal inference, discrete-choice demand estimation
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Statistical (risk) modelling, Model calibration and uncertainty estimation, Causal learning for explainable machine learning, Transparent, comprehensible and explainable machine learning explore the
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Statistical (risk) modelling, Model calibration and uncertainty estimation, Causal learning for explainable machine learning, Transparent, comprehensible and explainable machine learning explore the
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Master of Applied Econometrics PHD Pathway Scholarship Sir John Monash Scholarship for Excellence Are you passionate about econometric model building, estimation and forecasting for economic decision