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Learning for Data Efficiency. Design and implement novel active learning algorithms tailored for deep generative models. The system will iteratively evaluate its own performance and identify the most
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal
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, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal
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traditional and advanced optimization techniques, including analytical models, simulation-based approaches, and data-driven algorithms. The research also considers practical constraints such as cost, process
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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arrangements, job share, or part time hours will be considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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include: Data analysis, statistical modelling, and algorithm development to support work with the Department of Defence. Develop code in R and Python. Provide statistical, mathematical, and optimisation