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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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collaborators. These deployments provide a rare opportunity to construct digital twins grounded in operational infrastructure, live data, and scalable computation. This position is not focused on conventional GIS
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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with the R programming language, geospatial python libraries like geopandas, and GIS software like QGIS. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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prior to employment. Desired Qualifications Desired Qualifications Experience in crop models such as DSSAT and APSIM. Expertise in UAV operations. Familiarity with GIS (ArcGIS/QGIS), geospatial libraries
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested
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of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed publications. Have experience analysing AUV, BRUV or other marine video
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e.g., Python or R, statistical analysis, workflow automation, large dataset management, and Git/GitHub, is a requirement. Experience with publishing in international journals is a requirement
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integration, database systems, or data quality. 2. Skills: Proficiency in Python (data processing, APIs) and good engineering practices (Git, testing, documentation). Experience with at least one: vector search