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, machine-learning tools, and Lagrangian transport modelling. You will be based at the British Antarctic Survey and work closely with experts at the University of Leeds and Exeter, who provide cutting-edge
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-tuning only a small set of low-rank matrices for each agent role, drastically reducing GPU memory and training time while preserving the model's pre-trained knowledge. The primary outcome of this research
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. The ML will use 500,000 fundus images from open-source and customised retinopathy datasets. We will compare retinopathy grading accuracy by NHS clinician vs ML algorithm. This will build on Exeter’s
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existing models of reliability, performance, and safety. Similarly, in dynamic crowd scenarios, assumptions about orderly movement can break down due to panic or unexpected human behaviour, leading
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that challenges existing models of reliability, performance, and safety. Similarly, in dynamic crowd scenarios, assumptions about orderly movement can break down due to panic or unexpected human behaviour, leading
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analyse the behaviour of individual animals under natural conditions are therefore vital not only for fundamental research to understand why animals behave in the ways they do, but also for applied work
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Methods The Southern Ocean plays a disproportionate role in capturing anthropogenic heat and carbon. Its complex dynamics are characterised by interaction between the large-scale and a range of small-scale
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specimens tell us about changes in bat morphology in response to climate and land-use changes over the past century? The supervisory team will provide training in bat research, bioinformatics, genomic
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to understand the drivers and dynamics of sediment transport along this highly populated and vulnerable river. Additionally, it will explore the use of prototype water quality sensors (Hydrobeans) to understand
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focus (degree of emphasis on prediction by numerical modelling versus machine learning); optional inclusion of (non-essential) field work within the project. Supervisors will provide training in river