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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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will be imaged across different field and thermal histories using MFM, magneto-optical Kerr effect (MOKE) imaging, and synchrotron-based X-ray magnetic circular dichroism (XMCD). In parallel, electrical
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conditions are urgently needed for hydrogen gas turbines. In parallel, the gas turbine industry is increasingly adopting additive manufacturing (AM) to produce complex and lightweight components. Many
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degradation will be measured. In parallel, field-based measurements will be made of protein degradation pathways, and growth/protein synthesis proxies in wild fish at times of high and low sea temperature, in
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tested by isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) in collaboration with the lab of Prof. Andy Lovering. In parallel, minibinder/effector pairs will be co-expressed using
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preclinical mouse models and stool samples collected from patients with myeloma. In parallel, the project will explore how these changes impact immune cell populations and responses to infection. To do
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applications. The research will examine how key parameters—such as printing speed, toolpath strategy, material rheology, and geometric complexity—influence interlayer adhesion. In parallel, the project will
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algorithms * Parallel algorithms and distributed computing * Parameterized complexity and structural graph theory * Random structures and randomized algorithms * Sublinear and streaming algorithms
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits