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Qualifications: PhD in Geography, Urban Planning, Urban Sociology, Public Policy, or a related field. Expertise in social and economic geography to study territorial disparities. Understanding of key concepts
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processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised
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capable of writing scientific reports Demonstrate aptitude for teamwork Have a good command of English Main Tasks: The successful candidate must have the ability to: Design, implement, and validate
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Entity: ASARI-UM6P Laâyoune, Biorefinery and Bioenergy research program About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is
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precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme
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Assistance in the teaching activities as a team member of biomass valorization program at UM6P-ASARI, to support courses related to: Food technology (for farmers). Biorefinery Technology Instrumental process
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background in veterinary medicine, epidemiology, animal health management, or diagnostics. Requirement Strong analytical skills in veterinary research. Knowledge of statistical analysis and experimental design
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an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing
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indices Contribution to the design of regenerative cropping systems and ameliorants particularly nanomaterials that can valorize drifting soil in arid lands Contribution to relevant research proposals
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milk) derived from different animal species (camels, goats, sheep, …) in the Southern part of Morocco. Assist in the teaching activities as a team member of animal science program at UM6P-ASARI