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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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: Polymer chemistry, materials chemistry Chelating ligands, coordination chemistry, or metal–ligand interaction studies Synthesis of functional materials for separation processes Characterization methods
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to develop and implement advanced model order reduction (MOR) methods for flexible multibody dynamics. The work focuses on the floating frame of reference formulation (FFRF) and parametric MOR extensions
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biodiversity impact assessment methods considering multiple direct drivers of biodiversity loss 2) different ways to collect data for biodiversity assessment 3) experience in life cycle assessment and