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manufacturing (3D printing) techniques. The purpose of the studentship is to develop a next-generation in vitro model of aged human skin to evaluate the cytocompatibility of materials used in maxillofacial
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systems, and infrastructure development, contributing approximately £100 billion to the UK’s GDP. While emerging 3D printing (3DP) technologies offer promising opportunities for product individualization
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engineering applications. What you will gain Advanced training in cutting-edge characterisation techniques. Deep expertise in materials science and microstructural analysis. Collaboration with Cummins
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challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
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, the prospective student will gain skills and experience in biocides, membrane biophysics, neutron scattering and data analysis and modelling and antimicrobial assays underpinning biomaterials research, with a focus
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CNTs via CVD using varied catalyst formulations and growth conditions. Characterize CNTs using Raman spectroscopy, SEM/TEM, and elemental analysis. Investigate the influence of catalyst impurities (e.g
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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life-cycle analysis, GasTurb/PyCycle/NPSS, and CoCip is preferred Excellent written and verbal communication skills[AR1] is preferred. To apply, please contact Dr Eastwood - david.eastwood