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. Informal enquires are welcome and should be made to: Prof Enzo De Sena, e.desena@surrey.ac.uk , ideally by Friday 27th June. Once submitted, please send a copy of your application via email to him to enable
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or compromised IoT devices by analysing encrypted traffic patterns, focusing on metadata, flow characteristics, and timing rather than decrypting payloads. The core challenge is creating features and models
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models. This theoretical project will facilitate close collaboration with experimental groups and enable benchmarking of theoretical predictions. The PhD researcher will be part of the Correlated Quantum
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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for the Endorsed Funder Route of the Global Talent Visa. We can provide an interest free loan scheme to support applicants who need to apply for a visa. Please contact Prof Yujiang Wang yujiang.wang@newcastle.ac.uk
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electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach
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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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this to data from X-ray satellites and attempt to constrain misalignment directly. The student will also have the opportunity to explore new GR-RMHD simulations which are being carried out by Prof Middleton’s
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof