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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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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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their economic significance. Key Responsibilities Conduct geological fieldwork, including mapping, sampling, and structural analysis of carbonatite complexes and associated rocks and minerals; Monitoring
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databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling, collection, analysis, interpretation, and presentation. Supervise PhD and Master
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Sciences, or related fields. Strong background in isotope hydrology, ecohydrology, and modeling techniques. Experience in fieldwork, data analysis, and scientific writing. Excellent communication skills and
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of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as
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advanced tools such as Whole Exome Sequencing (WES), RNA analysis, GWAS (Genome-Wide Association Study), and CRISPR technology. The fellow will contribute to groundbreaking research that enhances
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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
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python