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doctorate in a relevant discipline and demonstrate strong programming skills and research expertise in artificial intelligence, machine learning or related areas. Faculty of Science & Engineering Department
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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
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contribute to publications, reports and presentations. 4. Excellent programming skills in Python, Julia, C++ or a comparable scientific-computing language, with evidence of producing reliable research code
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