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A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
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High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling numerically intensive processes to answer outstanding
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, spanning domains from automotive and avionics to healthcare, increasingly rely on distributed and multi-layered control architectures. These systems comprise interconnected computing nodes, actuators and
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will
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not seen in the UK. The reduction of nitrogen loading is the primary driver; however, the NBS also have capacity to deliver parallel removal of phosphorus. The NBS include the restoration of native
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features and close to material failure at high rate (e.g. extreme deformation, contacts, failure). Furthermore, you will have the opportunity to assess the scalability of IGA in Massively Parallel Processing
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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) approaches, along with Large Eddy Simulation, have demonstrated maturity in the prediction of many buoyancy-driven flows but require extensive validation. Two- and three-dimensional Computational Fluids
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waters at scales not seen in the UK. The reduction of nitrogen loading is the primary driver; however, the NBS also have capacity to deliver parallel removal of phosphorus. The NBS include the restoration