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: *Optimal Particle identification of Single Site with Underground MKIDs Detectors; funded by the ERC project ERC OPOSSUM *Development of an Experimental Microsatellite Platform for Extended In-Situ Space
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equivalent), obtained in Italy or abroad or medical specialization diploma. They must also meet the following requirement: be, or have been, RTDa researchers recruited within the scope of projects funded
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of projects funded entirely by the PNRR with contracts expiring in 2025 and 2026. For foreign citizens is required the adequate knowledge of the Italian language. This requirement must be met at the latest
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(or equivalent), obtained in Italy or abroad or medical specialization diploma. They must also meet the following requirement: be, or have been, RTDa researchers recruited within the scope of projects
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Job related to staff position within a Research Infrastructure? No Offer Description This PhD project investigates methods to improve the robustness and compliance of multi-modal AI systems
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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of projects funded entirely by the PNRR with contracts expiring in 2025 and 2026. For foreign citizens is required the adequate knowledge of the Italian language. This requirement must be met at the latest
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the scope of projects funded entirely by the PNRR with contracts expiring in 2025 and 2026. For foreign citizens is required the adequate knowledge of the Italian language. This requirement must be met
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or equivalent Selection process The selection is based on the evaluation of Qualifications, Research Project proposed and Interview. Website for additional job details https://www.unipa.it/didattica/dottorati
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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