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candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
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as Aeronautic and Aerospace Engineering, Biomedical Engineering, Product Design and Engineering (a minimum honours degree at UK first or upper second-class level). Experience in computational modelling
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Sodium-ion batteries are rapidly emerging as a powerful alternative to lithium-ion systems—offering significant advantages in cost, sustainability, and safety. To unlock their full potential, advanced gel polymer electrolytes (GPEs) are needed to boost energy density and reliability. This PhD...
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In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
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follow the EngD in Model-Based Systems Engineering Programme. They will be based at a Leonardo site in the UK. Entry requirements: A minimum of an upper-class honours degree (2:1) or overseas equivalent in
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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to rely on simple and homogeneous interactions used in early ABMs of collective motion [5]. Using the newly developed ABMs, you will create a model catalogue targeted at specific engineering problem domains
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
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and prosthetic devices in the real-world. This PhD project offers the opportunity to work on pioneering research that combines state of the art computational modelling (deep neural networks) and