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for lithological characterization, mapping the spatial distribution and topography of the near-surface rock gypsum layer. Evaluate the contribution of salt-affected soils to organic carbon stocks in semi-arid
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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to agricultural water management, through key research tasks such as conducting fieldwork, contributing to land and irrigation suitability mapping, irrigation design and management, processing and analysis of data
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) technologies for collecting data on environmental and health parameters (air quality, noise, mobility). • GIS Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial
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-depth analyses of territorial disparities and their implications for access to basic services. • Develop mapping and modeling tools to visualize socio-spatial inequalities. • Perform comparative
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, pedology). Demonstrated experience in advanced digital soil mapping and remote sensing. Experience with handling large geospatial dataset using High performance computing (HPC) Advances programming (e.g
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techniques. Proficiency in R, Python, or MATLAB for data processing, geospatial analysis, and statistical modeling. Experience with time series analysis, spatial mapping, and oceanographic data interpretation