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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL
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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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nutrition and growth. Crop and soil analysis: Perform detailed analyses of plant tissues, soils, and fertilizers to assess nutrient uptake, soil health, and fertilizer efficiency. Use advanced analytical
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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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evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis, thermal analysis, etc.). Ability to carry out feasibility, cost, risk
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formulation development and product optimization. Ability to design and evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis
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the interactions between soil amendments, cropping systems, and environmental stressors (salinity, drought) on plant nutrition and growth. Crop and soil analysis: Perform detailed analyses of plant tissues, soils