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dedicated to advancing energy-driven atmospheric water harvesting and optimizing condensation- and sorption-based technologies. The initiative focuses on integrating solar thermal and alternative energy
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techniques using: XRD, SEM, FTIR, ICP-OES Requirements: PhD in Plasma Science, Chemical Engineering, or related fields Candidate Profile PhD in Plasma Science, Chemical Engineering, Materials Science, or
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pioneering research in process systems engineering, with a focus on first principles and data-driven modeling, simulation and optimization with strong and permanent interactions with experiments. Integrate
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reactive species. Material characterization techniques using: XRD, SEM, FTIR, ICP-OES Requirements: PhD in Plasma Science, Chemical Engineering, or related fields Candidate Profile PhD in Plasma Science
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(LCC) analyses. These programs should align with the Process Optimization and Sustainability Cluster roadmap, focusing on: Process modeling, simulation, and optimization for chemical, energy, and
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and structural analysis Cheminformatics and chemical data mining Computational catalysis or process optimization AI applications in analytical, organic, inorganic, or physical chemistry Automation in
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-driven modeling, simulation and optimization with strong and permanent interactions with experiments. Integrate artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize
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Hydrometallurgy, with a focus on the development of concepts and methodologies that optimize the design and operation of efficient and sustainable processes. Collaborate with multidisciplinary teams to uncover a