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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and
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very low; Propose characterisation of the soil properties collected from different studied farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition
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farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition; Assess the effect of using organo-mineral resources on soil carbon stock in the field
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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
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. Applying Operations Research techniques to support the selection among predefined extraction methods. Developing and using Machine Learning models for quality prediction and control of phosphate ore
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interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare
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farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition; Assess the effect of using organo-mineral resources on soil carbon stock in the field