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, could also be used to underpin numerical models, quantifying the potential contributions of focal species to dispersal and/or reforestation at local, regional, or global scales. For further information
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the corrosion of reinforcing steel, which compromises safety, durability, and sustainability. Current corrosion prediction models often fall short because they rely on oversimplified assumptions and
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integration into neural circuits to result in functional, restored behaviour. We will use the fruit-fly Drosophila as a model organism for its powerful genetics and molecular cell biology (e.g. CRISPR/Cas9 gene
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aims to determine the link between lipid remodelling, antimicrobial resistance and intracellular survival using B. cenocepacia as the model organism. The project is supervised by Professor Yin Chen
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speed of initial GIS growth, it would be valuable in calibrating model forecasts of melt. Reconstructing growth of the GIS is a 10s-of-million-dollar endeavour that requires deep drilling of marine
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use generative AI to establish a large reference microscopy images dataset of healthy oral mucosa. The project aims to develop AI models that replicate the appearance and structure of healthy oral
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interactions with potential pathogens. To achieve this objective, we will use the genetically tractable model fungus Zymoseptoria tritici. This fungus also causes Septoria tritici blotch (STB) disease of wheat
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at the University of Birmingham. The studentship comes with an annual tax-free stipend of £20,780 (cost of living calculator: https://www.numbeo.com/cost-of-living/in/Birmingham ). Funding is only available at UK
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically
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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