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the development of globally inclusive language technologies and to design transformative approaches to overcome them. Responsibilities of the post holders include the development of new methods for multilingual
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Supervisory Team: Dr. Jie Yuan, Dr. David Toal PhD Supervisor: Jie Yuan Project description: Robust design is crucial to ensure the durability and reliability of aerospace components throughout
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of physical conditions (pressure, pulse time, temperature) will be investigated, allowing for the design of efficient shockwaves. Essential multi-physics software tools will be developed. The project is a
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. The student will receive advanced training in quantitative analysis, experimental design, and computational modelling*, and benefit from close collaboration with researchers and policy advocates. The project
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the design of fundamentally new alloys by computational methods; production through arc melting, powder metallurgy or additive manufacturing; characterisation using advanced electron microscopy and x-ray
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spectroscopy and HPLC), organic synthesis, electrochemistry, hydrogel soft matter and modelling. You will be mentored by Dr. Maguire and will learn how to design and manage projects, how to conduct research, how
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terrestrial biodiversity and ecosystem services. However, critical gaps remain in understanding how the design, structure, and landscape context of solar parks influence ecological communities, and how habitat
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and polypropylene), affect the gas/vapour transport properties, with a particular focus on the degree of crystallinity and degree of oxidation. The scope of this project would be to design a methodology
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-structural relationships for the FFA molecules and identify design rules for the most promising molecules that will then be tested experimentally. The student will have the opportunity to work using state
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, and how sweat glands respond to different lifestyles, in particular sedentary. Objective of this project, in collaboration with Unilever, is to design, build and validate a wearable, flexible biosensor