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, MODIS, GHSL, Open Buildings 2.5D, OpenStreetMap, Copernicus and other available datasets to characterise urban morphology, verticalisation and land-surface change, including the reconstruction of temporal
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together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces
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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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(acoustic crystals). The candidate should have solid experience in the development of hydrogel acoustic metamaterials. We also welcome and can host candidates to apply for MSCA Postdoctoral Fellowships 2026