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- Fondazione Bruno Kessler
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cases of Urbisaglia, Gortina, Antigonea, and the Drino Valley, using GIS and 3D reconstructions of the three urban contexts. The project is part of the University of Macerata's research
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for the assessment of susceptibility to forest fire damage; the elaboration in a GIS environment of the information layers representative of vulnerability (vegetation cover, land use, infrastructures, anthropogenic
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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; • skills in the management of: - computing clusters, - storage systems, - cloud and virtualization platforms; • knowledge, also acquired through experience, regarding: - Python programming, - use
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optical microscopy, X-ray diffractometry, Raman spectroscopy, ICP-MS, and X-ray fluorescence. Spatial distribution will be mapped using GIS and transport and dispersion processes will be modeled
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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analysis tools (R, Stata, Python or equivalent), aptitude for international research, the ability to engage in interdisciplinary dialogue with legal scholars and and to contextualize economic research within
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of software tools for geospatial data management (e.g., QGIS, ArcGIS); - Knowledge of languages and advanced tools for the harmonization and analysis of qualitative and quantitative data (e.g., Python, Matlab
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of a PhD relevant to the required experience. - Knowledge of advanced languages and tools for optimization and data analysis (e.g., Python, Matlab, R). - Knowledge of English and basic IT skills (to be