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provision of user-tailored climate services including products related to climate modeling. The successful candidate will have experience in two or more of the following areas: numerical climate modeling
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. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real
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a local storage facility for water from stormflows for irrigation in semi-arid regions. First, we will improve the coupled numerical model that we have developed for surface and subsurface flows. We
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the coupled numerical model that we have developed for surface and subsurface flows. We will use finite volumes methods combined with physics-informed neural networks (PINNs) which offer a flexible technique
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engineering, computer science applied to urban infrastructure, data science, or a related field. • Expertise in numerical modeling and simulation for urban systems. • Proficiency in digital twin tools and
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geology and geomechanics principles. An experience in numerical modelling and/or petrophysics would be an asset for the candidate. The position is open to candidates holding a Ph.D. degree in Geology, Earth
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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 thinking, an entrepreneurial spirit, and
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of air pollution interventions. This role uses numerical models of atmospheric chemistry and transport (GEOS-Chem, and others) to increase understanding of how Morocco and Africa air pollution will respond
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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 thinking, an entrepreneurial spirit, and
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edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind