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) at the University of Leeds and will be a collaborative enterprise between the Schools of Mathematics, Computing and Earth & Environment in Leeds, and the UK Centre for Ecology and Hydrology (UKCEH) in Wallingford
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physical geography, geomorphology, hydrology or equivalent Possess strong GIS, large dataset manipulation and coding skills, preferably using Python or R Experience of applying machine learning and/or
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have a sufficient breadth or depth of specialist knowledge in at least one related discipline or an (inter)disciplinary area (e.g. geography, hydrology, science communication, risk management), and
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of mechanical, ecological, and hydrological processes in natural porous media, and to increase our understanding of the dynamics of Peatland, and carbon sequestration within it. Peatlands store the most carbon
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depth of specialist knowledge in at least one related discipline or an (inter)disciplinary area (e.g. geography, hydrology, science communication, risk management), and expertise in social science methods