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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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analyses to explore potential pathways for behavior change and identify key factors that influence success. Applying machine learning, statistical techniques, and AI to analyze data, predict events, and
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design of these molecules. The goal of this project is to develop ML models for: 1) predicting properties of oligopeptide materials based on peptide sequence and end-group functionalization; 2) guiding
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