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                Virtual manufacturing of discontinuous fibre composites for high-performance automotive and aerospace structures (C3.5-MAC-Qian) School of Mechanical, Aerospace and Civil Engineering PhD Research 
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                Organic quantum batteries: the development of high-performance energy storage devices (S3.5-MPS-Lidzey) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students 
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                Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and 
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                a University Teacher (Grade 8) in German who will be responsible for coordinating all German language teaching within the MLTC, leading and supporting a small team to ensure the highest quality 
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                Identifying how chemicals shape microbial diversity through high-throughput ecological screens School of Biosciences PhD Research Project Directly Funded UK Students Dr Oliver Meacock Application 
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                a University Teacher (Grade 8) in German who will be responsible for coordinating all German language teaching within the MLTC, leading and supporting a small team to ensure the highest quality 
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                Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Dr 
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                Shaping Precision: How Cutting Tool Features Drive Micromilling Performance (C4-MAC-Ghadbeigi) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students 
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                : Nonlinear dynamical systems modelling Large-scale simulations and high-performance computing Parallel programming and optimisation techniques These are high-value skills with applications across academia 
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                high-dimensional datasets that hold promise for earlier and more accurate diagnosis. These are often analysed with modern computational approaches such as machine learning, which can highlight hidden