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, which frequently produces designs that are suboptimal when subjected to real-world dynamic environments. Although a handful of advanced, high-fidelity solvers have been developed to tackle this issue
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research in the new and exciting field of topological deep learning and explore its applications across diverse domains. You will develop novel algorithms that leverage topological and geometric techniques
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-driven workflows to support the optimisation and scale-up of chemical processes. This will include developing automated kinetic model generation algorithms, multi-fidelity optimisation strategies and data
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will develop and evaluate fault detection and fault location algorithms for these systems. The project is funded by GE Vernova under a wider collaboration with Imperial College London. You will be co
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relevant programming languages, frameworks, and libraries) Identify and develop techniques, paradigms, algorithms and required libraries and frameworks to solve software engineering problems Maintain highly
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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a