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investigating novel scenarios and use cases, developing novel solutions able to provide a good performance-complexity trade-off for the identified scenarios and use cases. Implementing and developing a software
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: Data interpretation and surrogate modelling using experimental and computational data sets Software tools for polymer characterization (e.g., TRIOS, RheoCompass, OriginLab or equivalents) Optimization
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, AtomGPT). Working Knowledge Of: • Workflow tools (e.g., ASE) and HPC environments. • Software development in Python, Git-based version control, and Conda packaging. • Data integration and surrogate modeling
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Motivation letter Links to Master’s/PhD theses (if applicable) Full publication list + up to 3 key papers with contribution details (Optional) Links to software contributions Where to apply E-mail tom.barbette