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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
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-pathogen interaction assays; Biofilm models; Proteomics & LC-MS/MS. DC12: Optimizing bioreceptor function in interaction with graphene. Based on modelling/prediction of interaction of receptor molecules
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of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation of the RFBs with optimized hierarchical electrodes. Job
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants on the environment and water reuse as well as the recovery of valuable
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date is (expected to be) March 1st 2026 or as soon as possible thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants