PhD Position – Climate and the carbon cycle: identifying responses and impacts using satellite remote sensing and machine learning
Summary You will develop approaches to describe the direct and lagged effects of climate on the terrestrial carbon cycle, informed by decades of remote sensing observations and state of the art machine learning methods. Project background Large-scale climate variations, e.g. El Nino, can have immediate effects...
