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of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals heterostructures, with
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), such as pharmaceutical antibiotics (e.g., sulfonamides, tetracyclines), nitrates, and metal oxides, among others, in complex water matrices. This is a highly multidisciplinary project covering topics
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the opportunity to collaborate with a large network of nanoscience and nanotechnology researchers worldwide and participate in the e-DREAM European microscopy network, which provides access to cutting
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processing methods. Highly motivated and enthusiastic researcher. Strong analytical skills and a keen interest in the interpretation of complex data. Excellent organization skills, time management and ability