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candidate will be involved in optimizing the synthesis process, with experience in photo-catalysis. Additionally, knowledge of gas-phase reaction product analysis using micro-GC and FTIR is essential. A solid
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). Demonstrated ability in data analysis and material performance optimization. A solid track record of peer-reviewed publications. Preferred: Knowledge of agronomic applications, including controlled-release
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bifunctional catalysts for converting biogas into high-value molecules. This position requires knowledge of material synthesis with controlled porosity and mixed oxides. The work will involve optimizing
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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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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong