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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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into the composition of the reservoir at the time of formation4. Together these data will be used in combination with conceptual and reactive transport models to determine and quantify the processes that have occurred
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progress. In this project, you will characterise the microbial, metabolic, and functional composition of FMTs used to treat patients. Your aim will be to identify the key bioactive agents within donor
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to scrap-based EAF steelmaking, by using a high percentage of scrap supplemented with ore based metallics (OBMs), is an attractive route to decarbonise the steelmaking process. However, residual elements
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corrosion-fatigue conditions by integrating multiscale physics-based models combined with mesoscale experimental tests. This research will study the effects of corrosion-induced changes in composition
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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business model for commercialising the enzymatic conversion process. The model will focus on local distribution and benefits for the local communities in South Africa. Applications are invited from students