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, particularly in forested and densely vegetated environments. Airborne LiDAR have demonstrated strong potential to penetrate vegetation and reveal micro-topography, yet many challenges in data processing
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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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photogrammetry now enable the digitisation of spatial environments across urban, natural and indoor settings. However, raw 3D observations generally remain largely unstructured and difficult to directly exploit
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of materials modelling and nuclear theory, and the ability to work both independently and collaboratively in an international research environment. Where to apply Website https://phd.fbk.eu/calls/detail/ab
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. The final output is a low-power, field-deployable platform tailored for the agri-food sector, capable of detecting early-stage contamination or quality shifts directly in harsh production environments