44 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Morocco
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The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus
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quality; Evaluate potential valorization routes for process by-products and residues; Analyze, interpret, and synthesize experimental data to support process development; Contribute to the economic and
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to contribute to the development of Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its
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and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and
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should have experience in carbonate chemistry, and reactor design or process development. A keen interest in circular economy solutions, sustainable gaz neutralisation, and industrial by-product
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Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and
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design improvements, providing a foundation for scalable industrial applications. Job Description: The postdoctoral researcher will contribute to the development and validation of computational models
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. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data