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, synthesize, and characterize advanced materials for biomass conversion. Conduct experiments to evaluate the performance of these materials in various conversion processes. Investigate the mechanisms of biomass
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the extraction yield. Perform comprehensive kinetic and thermodynamic studies to understand and optimize the extraction processes. Investigate structure-property relationships to correlate the extraction process
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, renewable based on performance and funding. About Mohammed VI Polytechnic University Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa, striving to position
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(transportation, farming, health, etc.). Therefore, WSNs/IoT have received enormous attention where various communications-related performance metrics were considered, such as reliability, connectivity, throughput
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subject to performance and the continued availability of funds. Job Responsibilities Establishing research protocols for large scale on-farm experiments with the components of biochemical analysis
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. Proven ability to perform multidisciplinary research and contribute to funded research programs. Proven ability to the planning, sourcing, and development of new initiatives and ongoing research activities
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for developing and optimizing desalination processes, particularly reverse osmosis, with a focus on sustainability and efficiency. The work will involve improving the performance of treatment systems and proposing
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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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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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance