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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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of records for the master and bachelor degrees Two letters of recommendation (submitted by the referees no later than the application deadline) Learn more about the BCBL’s OTM-R policy Additional comments
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(submitted by the referees no later than the application deadline) Learn more about the BCBL’s OTM-R policy Additional comments Application process timetable: Deadline for application: 1st of November 2025
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characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in