159 post-doc-image-processing Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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depending on satisfactory performance. Applications and selection procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject. The folder
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is
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, managing research activities of Master and supervising PhD students. Fluency in English as well as a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be
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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department
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clays and oxides, a process known as chemical weathering and taking place in soils or affecting atmospheric mineral aerosols. There is now ample evidence that forests are under increasing nutritional
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industrial processes. Optimization of Industrial Processes: Utilize nuclear techniques to enhance the efficiency and sustainability of industrial processes. Collaborate with production teams to integrate
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minimizing its energy consumption and carbon footprint. Activities and Responsibilities Optimization and Improvement of Logistics Processes Analyze routing, storage, and loading flows. Identify optimization
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separation, or membrane processes. Strong knowledge of ion transport mechanisms and membrane behavior. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning