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, or related fields, demonstrated by publications and/or fieldwork. Experience with qualitative research methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in
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have expertise in geometallurgy, applied geochemistry, and geo-environmental assessment, with advanced proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques
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such as spatial justice, socio-spatial segregation, territorial divides, and inclusive development. Proficiency in spatial analysis to examine inequality dynamics at various scales (urban, rural, regional
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, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can nowadays be used to obtain maps of surface soil moisture at a high spatial resolution (a
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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing