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Mathematics or a related field and a preferred minimum of three years post-doctoral experience. The candidate must have skills necessary for research excellence and impact in computational modelling
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expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication
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permafrost regions. By combining field data with mathematical and physical modeling, this international project aims to advance our understanding of the impacts of permafrost thaw beyond ecological tipping
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