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parallel expansion in mining to meet this demand is expected. The environmental, economic and social impacts of this global expansion are significant and need to be assessed, so that we do not trade one
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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anthropogenic activities, as well as limitations of existing models in effectively integrating human data to quantify human influence. Foundation AI models offer significant potential due to their strength in
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information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b12-low-latitude-atmospheric-rivers-meteorology-forecasting-and-flood-risk/ Further information
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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(synoptic scale) forecasting (< 5 days) to mid-century scenario-based climate predictions (time horizon 2030-2050). The project will explore the merging of data sources to estimate future energy requirements
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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. The project will be
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are found in the context of airway-derived metagenomic data. The project will be supervised by Dr David Cleary (UoB), Prof. Alan McNally (UoB) and Dr Meera Chand (UKHSA). Applications of a two page CV and
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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models