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The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and talented Postdoctoral researchers in
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to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based solutions into predictive
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
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), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic validation. Data Processing: Documentation, data analysis, and contribution to reports
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data for model calibration and validation. Apply sensitivity analysis and optimization algorithms to refine model parameters and improve predictive accuracy. Contribute to code development, documentation
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under various mechanical stress conditions and contaminant types. Data Analysis and Reporting: Analyze experimental results comprehensively, prepare scientific reports, and publish findings in reputable
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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
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guidance in experimental design, data analysis, and manuscript preparation. Contribute to grant writing, proposal development, and scientific publications and communication to expand the scope and visibility
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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