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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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learning “emulators” of multiple ice sheet and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform
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to transform our understanding and prediction of climate tipping points. We welcome candidates with expertise in climate modelling, ideally including experience with General Circulation Models (GCMs), Earth
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