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of benefit to a wide range of scientific communities, because the interactions of clouds with the mean climate is consistently the most difficult aspect of climate change to estimate correctly. To this end we
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relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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evolution experiments that explore selection dynamics. The student will be co-supervised by team with a track record of successful collaboration and will benefit from interacting with policy through the CASE