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design, MS analysis, identification of reaction products, quantification and subsequent optimization to generate the chemicals, fuels and materials of the future. Furthermore, knowledge of important
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synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical reactions. In your role, you will join the electrochemistry subgroup of the Giovannitti group
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and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance
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-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with advanced energy technologies. About us The Division of Electric