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. The objective of the research is to use an integrated approach combining numerical and analytical techniques, simulations and analysis of available experimental data to study and provide efficient
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in 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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, 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 experience and expertise should enable him/her
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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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determinants of urban health. • Predictive Modeling Skills: Ability to develop predictive models and simulation tools to assess the impact of urban interventions on health. • Smart City Experience
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, simulations and analysis of available experimental data to study and provide efficient solutions for sustainable management of water at the farm-scale. Our goal is to create a scalable and cost-effective
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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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for a post-doctoral fellow in process systems engineering, and particularly in modeling, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will
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international publication levels. Assist the research team in developing technical reports, extension materials, and policy and communication briefs. Run simulations using agro-economic models Assist and develop
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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