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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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, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and Responsibilities: • Develop a
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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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). The candidate will analyze real case studies, integrate variables related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision
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risk management, urban planning, energy engineering, and other relevant disciplines to develop integrated solutions. • Modeling and Simulation: Use simulation and modeling tools to analyze and
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and storage systems. • Collaborate with multidisciplinary teams to integrate IoT sensor data into energy simulations. • Propose innovative solutions to enhance energy efficiency while reducing
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complex interactions between physical systems (infrastructure) and digital systems (software, platforms). • Develop decision-support tools based on simulations for public and private stakeholders