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, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained optimal
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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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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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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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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
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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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systems to support specialized AI and LLM, and to empower the development and refinement of advanced algorithms for 6G communications, optimal grid management, renewable energy forecasting, and adaptive