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PhD Candidate - AI-enhanced LiDAR-driven analyses for detecting sub-canopy archaeology features

Fondazione Bruno Kessler | Italy | about 1 month ago

data and archaeological signatures (e.g., circular mounds, linear ditches, rectangular foundations, etc.) tailored for AI applications – Feature engineering and representation learning to enhance

PhD Candidate -Modeling and Simulation of Urban Digital Twins

Fondazione Bruno Kessler | Italy | 2 months ago

cities. Besides the requirements established by the rules of the IECS school, preferential characteristics for candidates for this scholarship are: – Master degree in Computer/Data Science, Mathematics