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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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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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. 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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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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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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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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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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, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents
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way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real
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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