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at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship which will cover tuition fees for UK-based students and provide an annual stipend in line
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AFM facilities at The University of Manchester and X-ray scattering at Diamond Light Source. At the University of Manchester, we pride ourselves on our commitment to fairness, inclusion and respect in
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: Coordination Layer: Formulate passivity-based conditions that guarantee agents—modelled as general nonlinear systems—synchronize their outputs or follow desired collective patterns purely through local
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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Research theme: Materials 4.0 No. of positions: 1 Open to: UK applicants This 3.5-year project is funded by the School of Natural Sciences and is available for home students; the successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780 for 2025/26). Tuition fees...
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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) and biomechanical modelling, to support rehabilitation of impaired hand function. It addresses critical limitations in current hand rehabilitation devices, which are often rigid, uncomfortable, and
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well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different
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the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. Generative models, such as large language models (LLMs), have exhibited remarkable success in
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reduces computational cost and enables large-scale reactor simulations, current porous approaches, based on Reynolds-averaged Navier-Stokes models, rely on empirical correlations and assumptions that may