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in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using various existing techniques. Knowledge in advanced structural characterizations will be valued
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of strategic metals and the development of fresh Lithium-ion Batteries & Supercapacitors Experience in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using
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to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic
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on metaproteomic analysis of soil microbial communities. This project aims to identify key genes and enzymes involved in mitigating salinity stress and improving soil health and crop productivity. These positions
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Remote Sensing, Geoinformatics, Agronomy, or a related field. Strong background in hyperspectral remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and
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for large scale on-farm experiments with the components of biochemical analysis of precursors of soil carbon sequestration and nutrient cycling Analyzing and developing models for quantifying carbon
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microbial ecology, with experience in high-throughput sequencing techniques and bioinformatics analysis. Expertise in soil science, including soil nutrient cycling, soil microbiology, and ecosystem processes
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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). Analyzing and characterizing purified proteins using SDS-PAGE, Western blot, ELISA, UV spectroscopy, BCA/Bradford assays, etc. Actively contributing to critical data analysis, protocol optimization, and the
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. Evaluating environmental sustainability via Life Cycle Assessment (LCA) and techno-economic analysis. Contributing to the integration of vanadium flows within a circular economy model for battery materials