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Application deadline: All year round Research theme: Numerical Analysis This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply
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of the vibrational energy. This project is intended to perform numerical analysis and modelling aimed at the optimisation and development of effective friction dampers. The research studies on friction damping will be
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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have gained knowledge and experience in numerical analysis, with a particular focus on linear algebra, and in high performance computing. There will be opportunities to present research at national and
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dynamics and, if appropriate, field work (Nicholas, Aalto); numerical modelling (Nicholas, Hawker); machine learning (Hawker, Aalto); and analysis of remote sensing (Aalto) and population datasets (Hawker
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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tracking. • Quantitative image analysis to assess spatial dynamics of gene transfer. Impact and Outlook This project will: Establish proof of concept for surface-based AMR control. • Inform the design of
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. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. An interest in energy policy / the economics of energy. Numerical modelling. Eligibility This studentship is available for UK
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therapeutic interventions. DA is a key neuromodulator, a chemical messenger that regulates and fine-tunes the activity of neurons, playing a vital role in numerous physiological processes such as reward