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centre dedicated to advancing digital technologies for the green transition of the energy sector. The centre conducts research at the intersection of energy systems, artificial intelligence, software
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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feedstock utilization to produce novel food products. Test data at scales for SCP production simulation needs. Generate a database for feedstock to protein combinations with corresponding sustainability
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, process optimisation is costly and unpredictable, impeding the sustainability and economic viability of fermentation-based manufacturing. To fix this, you will develop and test new methods for data
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software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing, including design, materials and processes, or testing, would strengthen your application. Finally, a
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cooperative behaviors such as joint mapping, coordinated inspection, or adaptive navigation. Digital twin simulation and testing: Developing and using digital twin models to simulate the integrated sensor suite