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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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between HDR and SDR worlds, ensuring consistent colour and contrast perception across luminance levels. Building on cutting-edge psychophysical models, this research promises to reshape how we see, capture
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, centralised, ‘move-fast-and-break-things’ model which dominates. Models of frugal, responsible and open innovation have been proposed and enthusiastically taken up to make innovations more just and societally
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network performance. Resilience evaluation will consist of proposing a method for the best use of resource allocation, which will make water networks robust and resilient to these threats. Summary: Open to
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to push boundaries and make a difference. Additional Funding Awards for UK, EU, International applicants cover full University fees, give a research training budget and a tax-free stipend to cover living
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in the synthesis of MOFs owing to selective heating [1-5]. This project will build on our development of microwave flow reactor platforms for the discovery, optimisation, and scale-up of MOFs
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modelling and simulation to solve complex, real‑world problems, HetSys offers the perfect environment to push boundaries and make a difference. Additional Funding Awards for UK, EU, International applicants
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make a difference. Funding: Awards for UK, EU, International applicants cover full University fees, give a research training budget and a tax-free stipend to cover living costs (standard UKRI rate £20780
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single