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We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
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. · Proven expertise in Quaternary techniques (phytoliths, pollen, charcoal) for palaeoenvironmental reconstruction. · Strong skills in statistical analysis and interpretation of ecological datasets
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, Organisational Behaviour, Statistics, Machine Learning, and so on; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically