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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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(MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools
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: An application letter, A Curriculum Vitae, A digital copy and summary of the PhD thesis, Written references from 2 persons and contact details of them, Other documents that the candidate considers important for
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root ecosystem services for carbon sequestration, nutrient cycling and relevant microbial communities. This includes assaying root – soil chemical interactions and imaging for simulation of soil health
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow
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design simulation studies using water, soil and crop modeling tools Compile and analyze experimental data, interpret results, prepare presentations and manuscripts, and publish in high-quality peer