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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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2024, Nature) and will integrate modelling methane exchange in upland trees with the LPJ-GUESS dynamic global vegetation model to identify past, current and future changes in this new-found methane sink
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