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to oceanography and climate research communities. PERSON SPECIFICATION This project is suited for a candidate with a background in natural sciences, engineering or mathematics, with good numerical and programming
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; biogeochemistry and fisheries modelling). The PhD candidate will acquire and/or strengthen their understanding of interdisciplinary working, modelling and statistics applied to economics, trade-off analysis skills
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in numerate, computational, or environmental subject areas. Numerate Subject Areas include e.g.: Mathematics, Statistics, Physics, Economics, Finance, Engineering (Mechanical, Electrical, Civil, etc
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introduced EU Deforestation Regulations aim to reduce the environmental impact of ‘Forest Risk Commodities’ (FRCs) such as soy, palm oil and coffee. Land-use changes, like forest clearing and burning
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regions? Which weather, landscape and land use factors promote or inhibit megafire development? Has climate change increased megafire risk, and how could those risks evolve in the future? Methodology