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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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-biorefinery LCA model (LCAD2.0 ) to evaluate the environmental sustainability of various feed, food, material and energy value chains derived from grass. They will explore these value chains under various scale
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architecture. It will use state-of-the-art robot-aided acoustic measurements and employ advanced computational and acoustic modeling techniques to create a versatile Acoustic Digital Twin, which will be combined
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architecture. It will use state-of-the-art robot-aided acoustic measurements and employ advanced computational and acoustic modeling techniques to create a versatile Acoustic Digital Twin, which will be combined