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, encompassing advanced geospatial analysis, remote sensing methods, atmospheric transport modelling, and epidemiological data integration. The researcher will also receive guidance in handling large datasets
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
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uncertainty quantification methods to strengthen scientific robustness of the risk analysis, (4) land-change maps creation using human-in-the-loop label propagation to tackle the time-consuming labelling
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access to physical samples and observations, which are provided by PML and Marine Science Scotland. The student will receive training in elasmobranch taxonomy both from imagery and physical specimens
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will apply nonlinear and associational (colloquially called “causal”) timeseries analysis techniques to provide a more rigorous, and more statistically significant framework for understanding
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dynamics and, if appropriate, field work (Nicholas, Aalto); numerical modelling (Nicholas, Hawker); machine learning (Hawker, Aalto); and analysis of remote sensing (Aalto) and population datasets (Hawker
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opportunity to devise an exciting research project, to receive training in data capture and manipulation, statistics, trait analysis, and modelling of interaction webs, and to undertake fieldwork
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, ecological and spatial data analysis, and knowledge exchange. This project includes an internship with a conservation organisation and fieldwork opportunities. CASE Partner The Bat Conservation Trust (BCT
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geospatial analysis in R, alongside advanced modelling with JULES. Co-supervisors in Brazil will provide field and logistical expertise, while the Met Office will offer world-class training in modelling and