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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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allowing us to recognise individuals on the basis of visual and vocal characteristics and automate the large-scale quantification of behavioural and physiological responses. The aim of this PhD is to combine
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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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