146 modelling-complexity-geocomputation Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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places research and innovation at the heart of its educational project as a driving force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a
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integrated solutions. Case Studies and Modeling: Conduct case studies on specific cities, using economic and financial analysis tools to understand urban development processes. Communication and Dissemination
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solutions. Analysis and Modeling: Use modeling tools to evaluate the impact of NBS on climate resilience, biodiversity, and urban quality of life. Communication and Dissemination: Prepare and present reports
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implications for access to basic services. Develop mapping and modeling tools to visualize socio-spatial inequalities. Perform comparative studies on public policies designed to reduce territorial divides
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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing, comminution modeling, and ore characterization, and will contribute to developing
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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 transdisciplinary
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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 transdisciplinary
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of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected