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part of the larger project. The scope of the PhD project is to implement, use, and where required develop, statistical machine learning tools to identify DNA mutations that cause particular types
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in the North Atlantic ocean. An ideal candidate will have a first degree with a strong background in mathematical and statistical methods and/or climate change, with an interest in working within
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biology, avian biology, ecology, molecular biology, qGIS and statistical methods, under the supervision of a highly experienced and interdisciplinary team at the University of Exeter. They will also benefit
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to short-term spatiotemporal extreme wind speed prediction, addressing limitations in conventional models. The candidate will: Analyse Extreme Data Distributions: Apply advanced statistical techniques