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tumour specific antigens (e.g. EPCAM) in magnetic nanoMIP and fluorescent nanoMIP formats. The doctoral candidate shall support MIP design with molecular modelling and undertake nanoMIP synthesis
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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(LCA), Life Cycle Cost (LCC) Analysis, and Social Life Cycle Assessment (S-LCA). Primary energy and greenhouse gas modelling of buildings, encompassing the product, construction, service life, and end
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on numerical modelling and experimental investigations and includes the practical implementation of results based on the needs of collaboration partners. The research environment aims for further collaborations