601 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"U.S"-"https:" PhD positions in United Kingdom
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This studentship aims to develop valid and high-fidelity immersive simulations to support the transfer of performance to competitive sporting environments. Immersive simulation is widely used in
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, there is currently no biosensor that can reliably detect key TLS biomarkers. This PhD project will focus on developing novel biosensors that integrate platform sensing technology with tailored electroactive
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fundamental engineering science with advanced experimentation to develop methods that inform and validate next-generation tyre friction models. Key objectives include: Developing innovative experimental
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About the Project Project details: The rapid evolution of battery technologies drives global lithium demand, and the UK’s 2030 vision seeks a competitive, sustainable battery supply chain to fuel
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training programme which develops with you as you travel through your PhD. It will set you up with all the critical skills and tools you need to get started, then moving through broader skills development
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versus foaming, cleansing and other important performance attributes in skin-care products. This project will focus on the development of environmentally friendly formulations, based on easily
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simulations are plagued by the same slow relaxational dynamics. Through collaboration across Engineering, Statistics and Chemistry, this project will develop state-of-the-art simulation algorithms to circumvent
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tissue are synthetic tissues produced in the lab which allow for the development of organs and the treatment of diseases to be studied. They are produced using cells and biomaterials and are a key part of
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bottlenecks and challenges around stakeholder acceptance. The successful applicant will develop novel power system planning models that explicitly incorporate supply chain constraints and stakeholder
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instrumentation of the structure, whilst effective, can be logistically expensive to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect