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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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learning. Prior experiences with numerical optimisation, machine learning, and chemical process design are highly beneficial. The ideal candidate pursues new insights, actively engages in scientific
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