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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Description No. 1 scholarship grant for scientific training activities at INFN National Laboratories of South for the following research topic: “R&D of Ion Sources and Targets for Nuclear Physics experiments
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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