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enables the visualization and analysis of data collected from Panel 8 of the Benguerir mine. Main Responsibilities The successful candidate will be responsible for: • Designing and conducting research
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analysis (TEA). The successful candidate will: Develop innovative strategies for transforming industrial byproducts into high-performance porous adsorbent materials. Design and optimize structuring and
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. Experience with automated or high-throughput DFT workflows would be an advantage. Experience with uncertainty quantification and sensitivity analysis would be an advantage. Application and Selection Please
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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digital twins for industrial chemical processes Process optimization and model-based decision support tools Development of computational tools for process monitoring and predictive analysis Candidate
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propose evidence-based corrective measures or process improvements. Perform detailed data analysis and interpretation, and prepare high-quality technical reports, presentations, and documentation
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carriers incorporating biochar for controlled nutrient release. Perform comprehensive physicochemical characterization using FTIR, SEM/TEM/AFM, BET surface area and porosity analysis, XRD, TGA/DSC, and zeta
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real conditions. Collect and analyze operational data, diagnose performance issues, and propose evidence-based corrective measures or process improvements. Perform detailed data analysis and
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characterization of complex materials and multi-component solutions. Practical knowledge of structural and spectroscopic techniques for material and solution analysis (FTIR, XRD, SEM/EDS, ICP, HPLC). Insight
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. Strong background in material performance testing and reliability analysis. Demonstrated ability to show initiative, work independently, and prioritize tasks effectively. Excellent organizational and team