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operational products to users (local, national and international) that aid in the decision support of water and food systems. Key Responsibilities: Statistical model development: Lead the development
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About UM6P: Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher educa on ins tu on with interna onal standards, is established to contribute to the development of Morocco and the African con nent. Its vision is honed around research and...
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, Statistical softwares and data analysis Good publications record in refereed journals Fluency in written and spoken English. French and Arabic will be a plus Experience in working as a member of a multi
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incubation studies of the newly developed product Conduct greenhouse and field-based experiments using test crops. Conduct statistical data analysis and modelling. Publish results in high impact factor
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obtain external grant funding Well-developed oral and written communication skills Desirable: Working knowledge of statistics and database management Additional language skills, Arabic and French
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statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication skills with a record of publications in reputed journals.
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-informatic / Geo-statistics/ Numerical modeling Data analysis Ore mineralogy Geographical information systems / remote sensing Application and Selection Required documents: Curriculum Vitae, Application letter
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. The incumbent will be expected to: Lead the group’s theory and modeling effort by means of quantum chemistry, statistical mechanical theory of molecular liquid, and molecular dynamics simulations. Closely
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
. Knowledge of research methods, including experimental design, statistical analysis, and model evaluation, and ability to apply these methods to remote sensing applications Familiarity with remote sensing
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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
independent research, including ability to design and execute experiments, analyze data, and interpret results. Knowledge of research methods, including experimental design, statistical analysis, and model