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-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two-phase flow behavior and mixing within the CSTR. These simulations will be used to evaluate
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—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two
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and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in
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related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive
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providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory analyses and field work. Collaborate with local researcher from the college of agriculture
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under changing environmental conditions. Play an active role in supervising and providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory
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, climate dynamics, observationally based model evaluation, and climate services. Key duties: The candidate is expected to: Develop and carry out climate model experiments to evaluate and explore potential
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. Research endeavors primarily focus on experimental and Modelling aspects. A notable characteristic of the Centre’s research is the strong collaboration among all members. The selected candidate will have to
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of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future
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able to accurately quantify the evolution of surface and groundwater storage. For a long time, the main tools for providing such information for planning purposes have been hydrological models