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economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions
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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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observations, atmospheric chemistry models, and physics-informed deep learning, validated through field campaigns. Key Responsibilities Conduct atmospheric chemistry simulations Develop deep learning models
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical
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feed resources. Assist in developing training programs and modules. Develop and deliver training modules to farmers, cooperatives, extension agents, etc. Data scheduling, collection, analysis
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of Excellence (ACER CoE) whose responsibility will be to develop and conduct a research program in the development of materials for hydrogen storage and porous materials as agents for applications pertinent
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the development of materials for hydrogen storage and porous materials as agents for applications pertinent to energy and environmental issues. Hence, the successful candidate should develop a wide
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assaying root – soil chemical interactions and imaging for simulation of soil health indices Contribution to the design of regenerative cropping systems and ameliorants particularly nanomaterials that can
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morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA