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to economic and food security in the Lake Victoria basin. Limited resources to monitor and regulate land degradation and inputs into the lake environment require scalable geospatial tools to direct limited
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performance under environmental stress. Training in geospatial analysis and ecological modelling will enable predictive insight into urban ecosystem dynamics. You will develop expertise in stakeholder
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analysis: Applying geospatial methods (GIS mapping, geographically weighted regression, spatial clustering) and temporal approaches (time-series analysis, distributed lag models, case-crossover designs
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/ Associate in African heritage and geospatial data science. This is a fixed term appointment for 24 months. The post holder will work as part of the Mapping Africa's Endangered Archaeological Sites and
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under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro
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standardized cleaning, validation, and metadata practices. -Integrate geospatial analytics, predictive modeling, and real-time decision frameworks to deliver scalable insights. -Collaborate on research projects
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are looking for an enthusiastic individual with a degree in a quantitative discipline. Experience of geospatial analysis (with GIS) is essential and programming with code (e.g. R, Python) would be advantageous
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evaluating temporal changes in A. longifolia populations and for assessing the impact of biological control agents. The work will comprise the application of remote-sensing and geospatial analysis
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sensing-based flood detection and mapping, and geospatial modeling. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s
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Modeling and Geospatial Analysis. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre