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a difficult sector to decarbonise, as electrical power is challenging for many forms of shipping. Hence, sustainable marine fuels are required. Methanol fuel tankers are already in operation, with
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biofeedback in people with CLBP to alter the way their muscles contract and explore the impact this has on pain symptoms and task performance. This project will integrate experimental research with the patient
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like MEMS, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact
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‑stationary atmospheric conditions involving shear, veer, yaw misalignment, and wake interactions. High‑fidelity CFD methods (RANS/LES) can capture these effects but are too computationally expensive
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This exciting opportunity is based within the Composites Research Group at Faculty of Engineering which conducts cutting edge research in advanced manufacturing of high-performance composites Vision
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As the aerospace sector pushes the boundaries of aircraft performance – and sustainable operations – with highly flexible primary structures (such as high-aspect-ratio and morphing wings
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in the Department of Chemistry, University of Manchester. They will make use of national and local high-performance computing facilities to carry out high-throughput adsorption energy calculations from
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. Seminal work by Wong and Gribble (2012) demonstrated that passive proprioceptive training—where the limb is moved by a robot—can induce significant improvements in active motor performance. This implies
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efficient interpretation of LiDAR data. The project will make use of high-performance computing facilities to support large-scale simulations and ensemble-based uncertainty quantification. A key innovation of
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to deliver high-temperature, low-carbon energy for applications beyond electricity generation, and building on the UK’s extensive experience of gas-cooled reactor operation. HMG has selected