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- Fondazione Bruno Kessler
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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, cloud formation, and heat transport in water world atmospheres. Interpret observations of water worlds by comparing atmospheric simulations with measured spectra. Assess the climatic conditions and
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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atmospheric circulation, cloud formation, and heat transport in water world atmospheres. Interpret observations of water worlds by comparing atmospheric simulations with measured spectra. Assess the climatic
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are scarce and in high demand. Our graduates will be ready for roles at cloud and datacentre operators, energy companies, grid operators, telecom companies, and in academia. As a MSCA Doctoral Candidate you
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programming skills in Python or Java (experience with APIs, databases, cloud technologies, or software development frameworks is a plus); excellent communication skills in English. For this position your
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slowly, or act quickly but lack robust planning. Frontier models typically depend on heavy compute, cloud inference or controlled settings, limiting real-world use under compute, latency and energy
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
an independent research program. * Experience utilizing high-performance computing or cloud-based environments for large-scale biological data analysis. * Demonstrated record of original scholarship, including
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along