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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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problems and related areas of space research; develop reusable and robust computational methods that can be integrated into ACT simulation, analysis, and optimisation workflows, with attention to efficiency
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workflows, and differentiable or probabilistic modelling approaches, to support robust calibration, sensitivity analysis and uncertainty quantification; abstract biological mechanisms into reusable design
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