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are analysed using big data and business intelligence applications to monitor tourisms. Additionally, predictive modeling methods are applied to estimate tourist mobility behavior and movement patterns between
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methods. In the latter case, estimates and causal inferences will be made, and natural experiments will be analysed using econometric techniques. The project also includes dissemination activities and the
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27 Feb 2026 Job Information Organisation/Company Fondazione Bruno Kessler Department Unità People Innovation Research Field Technology » Computer technology Researcher Profile Recognised Researcher
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on post-quantum code-based cryptographic schemes, aimed at estimating their level of security. Where to apply Website https://www.mur.gov.it/it Requirements Additional Information Eligibility criteria
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hierarchical structures; d) increase our theoretical understanding of existing DGL methods, as well as the ones developed in the project. Where to apply Website https://pica.cineca.it/unipd/ Requirements
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(Python or C/C++) with experience in systems engineering and software development. Solid knowledge of both basic and modern methods in machine learning, NLP and computer vision, including supervised and
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an innovative estimation of the natural nutrient loads delivered to the Lombardy lakes from their watersheds, through eco-hydrological modeling with SWAT+. In the models, anthropised areas will be converted back
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. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods
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benefits from the collaboration with several universities and research centres worldwide, most often with the closer universities of Genova and Verona. AIGO is part of ELLIS (https://ellis.eu
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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as