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area, and in particular to work on advanced modeling and simulation frameworks for Urban Digital Twins. The expected contribution of the candidate is twofold: first, developing a novel framework of new
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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for downstream applications such as mapping, simulation, analyses and other related uses. This PhD investigates methods to transform raw 3D data into structured scene representations that integrate
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. The research will combine state-of-the-art computational materials science, artificial intelligence, and multiscale modelling to investigate how cosmic rays, solar particles, and radiation environments affect
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at subwavelength scale and to support the development of compact, high-performance detectors. This PhD project proposes the design, simulation, fabrication, and characterization of plasmonic antennas for infrared
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treatment-induced relapse mechanisms using pseudotime modelling. At University of Florence (UNIFI), the Doctoral Candidate will work with human MuM tissues repositories. UNIFI has already collected a large