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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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— positioning you for careers in academia, research, or high-value industries. Join us to explore how microstructure shapes performance and help drive the future of sustainable turbine technologies. Applicants
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient
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-changing applications: High-performance electrical insulation for next-generation electric machines and power electronics used in transport and energy systems. Hydrogen permeation barrier coatings
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High Performance Computing facility, where the current code is implemented. The candidate will, among other activities, extend the model to treat different management interventions, peat growth and decay
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Sciences; Molecular Genetic and Population Health Sciences and Clinical Sciences and the Royal (Dick) School of Veterinary Studies. The undergraduate medicine teaching programme in the College enjoys a high