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Field
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genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in
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computational mechanics or multiphysics modeling, with particular interest in fracture mechanics and chemo-mechanical degradation. Knowledge of solid-state defect chemistry (advantageous). You will join a dynamic
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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unravel the atomic-scale mechanisms that underlie the high strength and ductility of Mg-rare earth (RE) based alloys. This will be achieved through a combination of advanced microstructural characterization
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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kinase genes becoming fused to fragments of other genes, resulting in ‘Tyrosine fusion kinase’ proteins. These fusion kinases, which are found in haematological malignancies and solid tumours, instead
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processes in Ni/molten salts interfaces. Responsibilities and qualifications You will break new ground in developing cutting-edge multiscale methods to accurately describe the initiation and propagation
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The primary task of the project is to unravel the atomic-scale mechanisms that underlie the high strength and ductility of Mg-rare earth (RE) based alloys. This will be achieved through a combination of
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background within structural engineering, computational mechanics, architecture or related disciplines. You must have a Master's degree in structural engineering, computational design, architecture, mechanical
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. However, it introduces serious material challenges. Hydrogen embrittlement can weaken key metallic components, threatening the safety and durability of aircraft systems and ground infrastructure. This PhD