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into polymer matrices. - Use of luminescent species for applications such as sensors. - Knowledge of DFT‑type simulation methods for modeling molecular properties. - Experience writing scientific articles and
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selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel
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on the development of new paradigms for deep generative modeling of polymers. Current representations and polymer design strategies are non-scalable, non-modular, and fail to capture the complex binding patterns and
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the production of polymer latexes that involves a complex, heterogeneous polymerization system and leads to polymers with a diverse range of structures. This project looks to use machine learning to better target
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-Doctoral fellows, 40 PhD students, and 52 Executive Master students. The department is organized in 4 Scientific Areas: Energy (batteries and hydrogen), Polymers and Composite Materials, Surface Science, and
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understanding of WS/DP adsorption to solid–water interfaces, including soils, sediments, sludge, and model mineral/organic surfaces. Experimental studies will investigate polymer–surface interactions, adsorption
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polymer composites. This project is a direct, high-impact follow-on from our published work on Composite Fibre Additive Manufacturing (CFAM), a novel sheet lamination technique. The initial research
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of the Italian language; PhD in Materials Engineering or equivalent qualification demonstrating proven experience in: advanced mechanical characterization of polymers and composite materials, with particular
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electrochemically in Li-ion batteries. The complexing polymers will be regenerated for a new extraction cycle. This project contributes to the circular economy of critical metals. Where to apply Website https
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exploit mathematical approaches, tools, and technologies at the interface with chemistry on one of the following themes: - modeling of quantum effects to gain a detailed understanding of chemical reactivity