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minimize environmental impact. Analyze experimental data using appropriate statistical methods, providing insights into the biological properties of seaweeds and their industrial applications. Prepare
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sensor data, public databases, and GIS. Predictive Modeling:Design predictive models to evaluate the impact of urban and environmental policies on public health. Interdisciplinary Collaboration:Collaborate
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Qualifications Ph.D. in hydrology, environmental engineering, urban planning, or a related field. Expertise in urban hydrology, water cycles, and stormwater management. Strong background in flood and drought risk
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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proper documentation and reproducibility. Qualifications and Experience Ph.D. in Microbiology, Molecular Biology, Environmental Science, or a related field. Strong background in soil microbiology and
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projects, including writing funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications: PhD: A PhD in ecology, biology, environmental sciences, civil engineering, or a
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Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and
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will be published in high standard scientific journals. Criteria of the candidate: PhD in environmental science, soil science, surface geochemistry, or related fields from a recognized Moroccan or
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of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software
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of Agriculture and Environmental Sciences at Mohammed VI Polytechnic University (UM6P). It constitutes a structure of practical-based research with a vision of solving real African agriculture challenges by