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with a degree in environmental science or a closely related discipline, with well-developed quantitative and programming (R, Python) skills, familiarity with palaeoenvironmental data, and an interest in
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and programming (R, Python) skills, familiarity with palaeoenvironmental data, and an interest in environmental modelling applied to solving real-world problems. Eligibility: Open to students worldwide
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subject by the start date of the appointment Good programming skills (r, Fortran, Python) Familiarity with eco-evolutionary optimality approaches to modelling vegetation Experience with working with large
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