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climate change impacts, and test innovative solutions such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows
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innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables related to
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with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process
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forecasting of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for
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to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research
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strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development of skills essential for Africa’s future. Located in the municipality of Benguerir
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. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes
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integration of vanadium flows within a circular economy model for battery materials. Key Responsibilities Development and optimization of hydrometallurgical and pyrometallurgical vanadium recovery
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of a business model. About Entity (Hiring entity): The African Genome Center ( www.agc.um6p.ma ), is a multidisciplinary research entity dedicated to advancing genomics and systems biology approaches
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lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model