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Field
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of a range of polyols derived from waste cooking oils. - Synthesis of polyurethanes from selected polyols. - Characterisation of the structures and properties of the obtained polyols and polymers (NMR
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-of-life to enable direct recycling. Within this project, the focus of Structure Formation Department (SF) is on developing and characterizing the hybrid binder systems. The research integrates polymer
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mechanical robustness during battery operation with controlled debonding-on-demand at end-of-life to enable direct recycling. Within this project, the focus of the Department Structure Formation (SF) is on
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the scope of project VH 0009 “BauMaZ – FireSafeMycel / Fire Behavior and Flame Retardancy of Mycel Materials” Use of approaches from materials science, polymer analysis, fire engineering, and measurement
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characterization Lead work packages in various ongoing projects Collaborating with polymer engineers and physicists for exploring novel application of these materials Supervision of Master and Bachelor students in
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. Specifically, the candidate is expected to work on 1) theory and experiment for understanding mechano-transport in soft materials, and 2) mechanics of polymer networks with slipping crosslinks. Additionally
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, FTIR, AFM Thermal analysis: DSC, DMA, TMA, TGA Electrochemical methods (e.g., Electrochemical Impedance Spectroscopy) are a strong plus 4. Conductive Polymers and Molecular Modeling Research
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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are seeking a postdoctoral research associate to contribute to an innovative EU Pathfinder project at the intersection of polymer chemistry, molecular dynamics simulations, and machine learning. The primary