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process and equipment optimisation Application of artificial intelligence, surrogate modelling, and optimisation methods to accelerate exploration of RAM design and operating space. By coupling simulation
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. This project focuses on developing advanced simulation techniques to optimise
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approach for use with dry fibre forming and RTM manufacturing processes. Assess if a modelling approach can inform process control and optimisation, leading to a reduced part scrap rate. Build simulation
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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems
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environmental impact assessment for primary extractive industries; disused boreholes particularly from hydrocarbon prospecting are a major and unquantified source of methane emissions, as are the various processing plants involved
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algorithms that combine Reinforcement Learning techniques like Partially Observable Markov Decision Processes (POMDPs) with cognitive inference modules capable of modelling human beliefs, intentions, and goals
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@ncl.ac.uk Key Accountabilities Develop and implement novel demographic and evolutionary models that incorporate developmental processes Lead the design and analysis of simulation studies to test hypotheses
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reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis