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                the level of relevance of research approaches and to be able to combine them in an astute way in the analysis, definition, and resolution of project problems A minimum experience (professional or research 
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                suitability mapping, irrigation design and management, processing and analysis of data, and report writing. Lead data collection and contribute to the situational analyses to identify status of farming systems 
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                , Environmental Science, Climate Change, or a closely related field. Strong background in agronomy, crop physiology, or related disciplines. Experience with remote sensing data analysis techniques for agricultural 
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                cyanobacteria or microalgae biology. Experience with experimental design and data analysis in both laboratory and field settings. Familiarity with agricultural microbiology, plant-microbe interactions 
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                modules to farmer’s, cooperatives, extension agents, etc. Data scheduling, collection, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project 
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                advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning 
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                -genome sequencing experiment of the selected strains. Conduct taxonomy characterization and analysis of selected isolates. Conduct Bioinformatics analysis related to the generated data. Co-supervise master 
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                of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization 
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                , archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in French and/or Arabic is highly 
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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