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solutions. Analysis and Modeling: Use modeling tools to evaluate the impact of NBS on climate resilience, biodiversity, and urban quality of life. Communication and Dissemination: Prepare and present reports
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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position to join an interdisciplinary research project focused on metaproteomic analysis of soil microbial communities. This project aims to identify key genes and enzymes involved in mitigating salinity
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
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applications. Collaborate with project partners and compile, analyze, and document research findings. Disseminate results through the writing of scientific publications and technical deliverables. Work closely
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in Africa. Main responsibilities: The selected candidate will be expected to: Collect the data regarding the production of targeted crops in Africa, work with the project team and valorize data as
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include laboratory investigations, prototyping, field testing, and performance analysis of water harvesting systems across various climatic contexts. In line with E4W’s mission, the postdoctoral researchers
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efficiency Proficiency with statistical analysis and visualization using tools (R, SAS, etc.) and Microsoft Office. Demonstrated publication record in well-ranked journals Experience in working as a member of