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Field
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fluency in Malay/Bahasa Melayu is a strong asset. Perferred qualifications include PADI instructor-level certification, formal training in monitoring protocols, data-platform or GIS experience, and
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socioeconomic and environmental data. • Development and application of indicators to measure social and environmental justice in 15-minute city scenarios. • Integration of spatial data (GIS) and sources
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skills: Knowledge of vertebrate skeletal morphology (mammals and/or reptiles). Skills in database management and integration of large, multi-source datasets. Familiarity with GIS, phylogenetic, or modeling
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GIS applications (e.g., ArcGIS) and the integration of geospatial data for analyzing spatial patterns of inequality, innovation, or business activity. Demonstrated ability to work with U.S. Census and
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skills (one or more of the following strongly desired) Exploratory analysis of massive datasets (machine learning methods) Spatial data analysis and Geographic Information Systems (GIS) Forecasting and
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, or related disciplines. Proven expertise in climate change adaptation, food security, and rural development. Strong background in statistical and spatial analysis tools (SPSS, MAXQDA, AMOS, LISREL, PLS, GIS
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in statistical and/or GIS analysis are also encouraged. Applicants are expected to assist faculty in the Department of Geography and the Environment by co-teaching a Mendel Science Experience lecture
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Postgraduate Students as required. Mōu | Who You Are You will hold a PhD (NZQA Level 10) in Quantitative Geography, Spatial Data Science, Geographical Information Systems (GIS) and health or a related discipline
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emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization tools (e.g., dashboards, GIS, spatio
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, crop yield). -Familiarity with geospatial data and tools (e.g., GIS, QGIS, Google Earth Engine). -Knowledge of explainable AI (e.g., SHAP, LIME), model interpretation, and/or uncertainty quantification