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to work both independently and within a collaborative research environment. Preferred qualifications : Experience in salt or potash processing. Familiarity with process modeling and simulation tools
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Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
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interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as during natural disasters. AI models can process big datasets efficiently, helping to make informed
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a new generation of African Atmospheric Scientists and faculty members. Research endeavors primarily focus on experimental and Modelling aspects. A notable characteristic of the Centre’s research is
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. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV frames. Contribute to fabrication using composite and polymer additive manufacturing. Prepare and execute
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, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): This Chair conducts its research around major
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project as a driving force of a business model. About Entity (Hiring entity): This Chair conducts its research around major contemporary transitions: environmental, social, technological, cultural, and
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in real time. The candidate will contribute to modeling interactions between physical and digital infrastructures to enhance energy management, transportation networks, and urban sustainability. Key
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navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment
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fertilizers is preferred but not mandatory. Experience in experimental data analysis and modeling of nutrient release processes. Hands-on experience in field preparation and establishment of multisite field