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The Australian Research Council (ARC) Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) is seeking applications for ten ARC fully-funded PhD projects
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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the Master of Applied Econometrics (PHD pathway) in the Department of Econometrics & Business Statistics in the Faculty of Business and Economics at the Monash Clayton campus. WAM 80+ (Direct entry
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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What you'll receive The QUT scholarship provides a stipend of $40,000 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six
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are a full-time honours year or PhD student studying a topic of relevance to prudential supervision and are an Australian or New Zealand citizen or permanent resident you are eligible to apply
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, Professor Simon Laws. Project level: Masters and PhD Desired Skills: Applicants should have statistical and quantitative skills with experience in using at least one statistical package (for example R, SPSS
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advanced statistical modelling to examine discreteness beliefs and prejudice patterns across cultures analyse societal-level predictors such as cultural tightness - looseness and collectivism - individualism