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. Proven experience in experimental design and data analysis, with proficiency in statistical software. Experience with soil sampling, laboratory techniques, and field research. Ability to work both
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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experience in assaying root – soil chemical interactions and imaging for simulation of soil health and nutrient acquisition Proficiency in Microsoft Office, data analysis using R and SAS. Basic knowledge
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Job Title: Postdoctoral Researcher – Energy engineering and monitoring of solar panel performance in semi-arid environments Duration: 12 months, renewable Position Summary: We are seeking a docotor
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources
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Main Responsibilities: We are seeking a motivated postdoctoral researcher to join our research team as part of an innovative project focused on the design, production, and characterization of recombinant
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around several major 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
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equilibrium modeling in multi-component systems. Comprehensive use of characterization tools, including: SEM, TEM, HAADF-STEM, XRD, and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace
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Marginal and deserted environments Water-Crop-Soil modelling Water use efficiency Proficiency with statistical analysis and visualization using tools (R, SAS, etc.) and Microsoft Office. Demonstrated
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, particularly their role in soil nutrient cycling, nitrogen fixation, and carbon sequestration. Investigate the mechanisms through which these microorganisms interact with soil environments and plants