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established methods of microstructural analysis and mechanical testing with new schemes such as Acoustic Emission for non-destructive assessment of degradation and Machine Learning for development of predictive
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As a PhD student within the Economics Division, you will have access to a broad programme of research training opportunities. These include advanced methods courses, data skills workshops, and an
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). Cited References: [1] Jolles, J. W., King, A. J., Killen, S. (2019) Trends Ecol Evol https://doi.org/10.1016/j.tree.2019.11.001 [2] Papadopoulou, M., Garnier, S., King, A. J. (2024) Methods Ecol Evol
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will aim to make foundational work in glass-based RF components and packaging techniques, with specific aims including: - Investigate design methods that are suitable multi-port RF components using 3D EM
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, contributing over £149bn to the Gross Value Added of the UK economy, requires innovative method to accelerate the innovation pace and to enhance the corresponding sustainability profile. The aim of this project
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infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
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-world impact of their research Be comfortable using and learning about quantitative data analysis *applicants with less experience of more advanced quantitative methods, such as computational modelling
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and PhD students who work on experimental synthesis of catalysts and testing catalysts using both thermochemical and electrochemical methods. You will develop skills in catalysis, electrochemical
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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. Students should be open to interdisciplinary methods and capable of thinking critically and creatively about complex issues. Eligibility Applicants should have a first or upper second class honours degree in