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to address these challenges. The research will investigate: Ontology- and KG-enhanced language models Domain-specific language models and retrieval-augmented generation Knowledge grounding, constraint-aware
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for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
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augmentation. This project is conducted at Lund University (LTH) in close collaboration with several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS
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results from our group, including DNS/LES studies of AM roughness showing enhanced turbulence and heat-transfer augmentation. This project is conducted at Lund University (LTH) in close collaboration with