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needed to drive forward innovation in designing the next-generation energy storage systems using novel materials. We invite you to apply for this exciting PhD programme. Number Of Awards One Start Date 1st
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optimisation/decomposition techniques, providing superior computational capabilities compared to classic optimisation methods, to ensure system resilience using topology optimisation. Number Of Awards 1 Start
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improvements in air quality around buildings. This project combines Computational Fluid Dynamics (CFD) and experimental approaches to investigate pollutant dispersion in urban environments. At Newcastle
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develop innovative techniques to accelerate computational methods in uncertainty quantification and data science. Potential investigation areas: • Enhancing Monte Carlo and Markov Chain Monte Carlo (MCMC
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students only. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of
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your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need
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programme of study: · search for the ‘Course Title’ using the programme code: 8040F · select ‘‘PhD Civil Engineering (full time)’ as the programme of study. You will then need to provide
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Engineering or Computer Science) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and
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Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8090F · select ‘PhD Mechanical and Systems Engineering (full time
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Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F. select 'PhD Electrical and Electronic Engineering (full time)' as the