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, alongside our CASE partner NGOs. The supervisors of this project are highly experienced and foster inclusive, diverse and multi-disciplinary research groups. You will join the Ecology and Evolutionary Biology
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deep learning algorithms in ESRI ArcGIS or similar software. Desirable Application Proficiency with relevant specialised software and approaches (e.g., geographic information systems, high-performance
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the evolutionary consequences for bacterial genomes after acquiring this trait?', 'what environments select for symbiosis gene mobility?' In this project we will use a combination of experimental
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and will involve working closely with other project team members. The research group is embedded within the world-class Ecology and Evolutionary Biology Research Cluster, part of the School
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. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture
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-to-failure dataset is then fed into powerful Artificial Intelligence algorithms, particularly time-series Neural Networks. These models learn the complex sequence of events that reliably precedes performance
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, including teeth grinding and normal everyday movements, ensuring the accuracy and reliability of the collected data. Developing, training, and validating state-of-the-art machine learning algorithms
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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, algorithms, and applications’, Information Fusion, 81, 2022. [2] A. Z. Wang et al, ‘Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis’, IEEE Trans. Visual
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets