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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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comprehensive understanding of aerosol-cloud-interactions. This will be achieved by using a state-of-the-art modelling framework with extensive, systematic, and simultaneous in situ and remote sensing airborne
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the present day, and how they might change in the future. The overarching objectives are to:- (i) utilize in-situ and remote sensing observations and synergistic multi-scale modelling to improve our
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