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, such as Matlab, Python, R, Stata and GIS. Preference will be given to those with experience in handling large-scale gridded datasets (e.g., spatial panels and raster data) and proficiency in Python for data
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”. Qualifications Applicants should: (a) have a master’s degree in GIS, Urban Planning, Data Science or relevant disciplines, or an equivalent qualification; (b) have experience in processing multi-sourced
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) an honours degree in Social Sciences, Geography, Urban Planning, Community Design or a related discipline; (b) high proficiency in Geographic Information System (GIS) platforms with experience in spatial
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technology integration for social innovation, such as Geographic Information Systems (GIS), AI, big data analysis, or AI-enabled teaching, to enhance project outcomes and training content; such expertise will