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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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engineering, and particularly in modeling, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will reinforce the team of the CBS department. His/her
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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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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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sodium-ion batteries. Position Requirements - A Ph.D. in physics, computational materials science, or a related discipline completed within the last 5 years. - Strong background in Multiscale simulations
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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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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation
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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