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to both fundamental understanding and industrial applications of thermal processing, including product characterization, process design and modeling, and techno-economic evaluation of pyrometallurgical
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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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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their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic
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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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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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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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, Chemical Engineering, Process engineering or a related field. Requirement Strong knowledge in process engineering Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer
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time, the main tools for providing such information for planning purposes have been hydrological models. They come in various configurations, from simple, conceptual lumped models to more complex
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of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor