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to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in
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, Durham, and Birmingham) developing navigation systems and integrating sensing data into a head-mounted Augmented Reality system, jointly defining the specifications (e.g., data types, optimal refresh rates
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process, adapting the technology to meet industrial requirements. This will involve kinetic and mechanistic studies to optimize catalyst performance; scale-up, process intensification and adaptation
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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
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researchers to join a dynamic team working on an EPSRC-funded project, focused on both catalytic ammonia combustion and optimal design of innovative catalytic burners for real-world industry applications. As a
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into that framework, and to take advantage of these tools to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will
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programme of research and knowledge exchange to develop and optimize new testing regimes for flood resilience products, enable PFR needs to be aligned with exposure to flood risk and formulate an evidence
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programme of research and knowledge exchange to develop and optimize new testing regimes for flood resilience products, enable PFR needs to be aligned with exposure to flood risk and formulate an evidence
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postdoc, your primary goal is to conduct advanced measurements to optimize these effects and spearhead the development of electro-absorption and electro-refraction quantum dot modulators. You will fabricate
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innovation-oriented, to help us drive the gradual development of these technologies toward real-world applications. This involves engineering experimental hardware for cell culturing workflows, optimizing