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looking for your next challenge? Do you have a background in machine learning or fluid dynamics and an interest in applying your skills to understand the dynamics of Earth’s fluid core and space-weather
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, Bayesian and maximum likelihood approaches, spatial statistics and random forests or other machine-learning approaches and be quick to learn new techniques. Enjoyment of analysis of large and spatially
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could be related to biogeochemical cycles and sustainable use of resources, and/or ecology, conservation and biodiversity. Methods used may include modelling, machine learning, remote sensing, field and
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