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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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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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measurements) · Data analysis and writing of manuscripts for peer-reviewed publications. Requirements: Applicants must hold a Master's degree in Physics, Nanotechnology, Materials Science, or related discipline
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skills Excellent organizational and time-management skills, including the ability to deliver timely and high-quality outputs Enthusiasm to learn new skills outside own discipline Summary of conditions
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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