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analysis of climate variability using a range of observational and modeled datasets to discern patterns, trends, and potential future scenarios. Develop and refine hydrological model tailored for specific
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and temperature in Morocco. This will involve data analysis, model design, and algorithm implementation. Work closely with the team to integrate various data sources into the modeling framework
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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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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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fertilizer formulas. Characterize produced fertilizer formulas using various physicochemical and analytical tools such as spectroscopy, microscopy, porosity analysis, to assess structure-property relationships
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applied to the phosphate industry. Key Responsibilities Analysis and Monitoring of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by
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available in the field Sufficient scientific and methodological hindsight to understand the level of relevance of research approaches and to be able to combine them in an astute way in the analysis
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methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in
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expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics, Genomics, or a closely related field Requirement