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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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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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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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System-on-Chip (SOC) Technologies provide an opportunity to underpin a number of capabilities for AI and related capabilities on platforms. This research, within the context of automotive systems, explores opportunities to design a high-performance RISC-V-based platform to support analytics and...
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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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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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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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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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learning techniques and novel approaches to the treatment of systematic uncertainties. The Sussex NOvA group comprises two faculty, two postdocs, and three PhD students. We hold and are leading the effort to
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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