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Field
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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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block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within the Cybersecurity and Computing by Dr Abdul Razaq and Dr Sanaz
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English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported
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the properties of post-consumer recyclates. The project will apply cutting-edge data science techniques, including principal component analysis and machine learning, to handle multivariate datasets and enhance
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Steel and other metal alloys. Other raw materials (i.g. Construction materials) Electronic and photovoltaic materials Research study area 1: The first research focus will be the application of advanced
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collection design and method. Remote Working: Is this project suitable for remote working? Yes Remote working details: This project could be done remotely but the fieldwork component would need to be
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. Generating gastruloids from induced pluripotent stem cells (iPSCs) to create in vitro models for studying critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements
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oxides. However, limitations in performance and stability have confined silicon and organic-based devices to niche applications. In contrast, recent advances in ceramic thin film technologies offer
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thermal-catalytic system and nonthermal plasma system will also be investigated. The project will involve the preparation and modification of porous materials (e.g., zeolite, MOFs, metal oxide) and
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, including SuperMagdrive, operates using metallic propellant, offering density, integration, and safety advantages compared to conventional launcher propellants such as hydrazine. However, metal propellants