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industrial applications. Analysis and Characterization: Employing a wide range of analytical techniques, including EM, SEM, AFM, XPS, UV-Vis, IR, cyclic voltammetry, and NMR to comprehensively characterize
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-time PCR, and Flow cytometry. Advanced Knowledge in skin biology and technical skills in cosmetic formulation. Proficiency in the use of software and databases and statistical analysis. Publish in well
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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bifunctional catalysts for converting biogas into high-value molecules. This position requires knowledge of material synthesis with controlled porosity and mixed oxides. The work will involve optimizing
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for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability
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, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self
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background in veterinary medicine, epidemiology, animal health management, or diagnostics. Requirement Strong analytical skills in veterinary research. Knowledge of statistical analysis and experimental design
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attracted multidisciplinary research teams composed of food engineers, agronomists, biochemists, biologists, … etc. Description of the position: Run research activities in animal food technology (meat and
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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material synthesis and characterization techniques (e.g., FTIR, XRD, SEM, TGA, BET). Proven experience in data analysis and material performance optimization. Track record of publications in peer-reviewed