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Field
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the interface of reaction engineering, process systems engineering, and industrial deployment. You will develop and optimise scalable MEC systems for real industrial wastewater, focusing on process
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interface of method development and materials physics, as part of a research group passionate about tackling complex materials challenges for materials with real-world applications. The project offers
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. This is an exciting and varied role that involves developing and delivering the research objectives of the project. You will be working closely with Professor Patricia Kingori and the project collaborators
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biomass to energy with carbon capture and storage (BECCS) etc. Training and Development Through our research training programme, you will be able to: Develop a network with doctoral researchers, academia
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. For these reasons, there is a pressing need to develop new biobased extraction methods to support the exponentially growing global demand for REEs. Lanthanophores are a family of recently identified secreted
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maintaining accuracy. Although such approaches are widely used, there is still much theoretical development needed to assess the accuracy and efficiency of these approaches. This project therefore seeks
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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transportation as they potentially offer significant power density and efficiency benefits for cryo-fuelled aircraft. This PhD combines industrial and academic expertise to help to develop next-generation
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. This project will address this gap by developing a predictive, experimentally validated, multi-scale modelling framework for battery interphase formation. The work will combine first-principles calculations
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apply their own ideas, perspectives, and their personal skillset to the discovery, development, and commercial translation of new 3D nanoscale magnetic metamaterials. What You’ll Do in this Project Size