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Field
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important topological structures thought to contain the essence of confinement. This project will use a first-principles approach in which large-scale simulations of QCD are performed on a discretised
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop
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materials in van der Waals heterostructures, enabling control of superconductivity via external electric fields. To achieve this, the PhD researcher will combine first-principles calculations and effective
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and deterministic AI outputs is critical. This requires robust design principles and architectural changes to reduce variability and integrate smoothly with industrial control systems. Enhancing
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to increase each year. The start date is 1st October 2025. Industrial filtration felts are constructed using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands
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propulsion forces, uncovering the new fundamental principles that govern their movement. The physics of swimming on these small length scales is fundamentally different to that when we swim. By characterizing
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tools will be integrated from the outset to evaluate and minimize environmental impacts across all stages of synthesis and formulation. The project will align with industrial standards and regulatory
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aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex
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sectors like aerospace, healthcare, and manufacturing. The convergence of AI with fault-tolerant design principles is transforming traditional maintenance paradigms, leading to more robust and intelligent
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at the Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology at the University of Nottingham. We are seeking applicants for an anticipated October 2025 start, or earlier