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-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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for accuracy. Excellent IT Skills, including with the Microsoft Office Suite. Excellent administrative skills, including the ability to organise and plan effectively. Good oral and written communication skills
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