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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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disciplines to develop integrated solutions. Modeling and Simulation: Use simulation and modeling tools to analyze and optimize urban energy networks. Conduct case studies on specific cities to evaluate network
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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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techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency. She/he will also integrate diverse technologies into pilot plant designs, conduct trials
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systems (software, platforms). Develop decision-support tools based on simulations for public and private stakeholders. Contribute to scientific publications and establish partnerships with public, private
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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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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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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