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, collaboration among edge agents enables decentralised decision-making and global optimisation without continuous cloud dependence. By sharing local observations, learned models, or inferred knowledge, agents can
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the international PlaTFoRm project (Practical Testing of Formal Requirements) [6] which tackles these issues through collaboration between UK and EU partners, including Newcastle University and D-RisQ Ltd in the UK
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code
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EPSRC ReNU+ CDT PhD Studentship: Physics-informed machine learning for deep geothermal systems under uncertainty. Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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-of-the-art AI and computing facilities, receive tailored training and professional development, collaborate with experts across disciplines, and contribute to open-source tools that advance the wider AI