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information-theoretic and game-theoretic approaches by incorporating bounded rationality, learning dynamics, and human-in-the-loop behavior, yielding more realistic models of operational and adversarial
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freshness metrics (Age of Information) in IoT and edge networks, examining random-access protocols, intelligent backoff strategies, and congestion dynamics. The activity integrates optimization and game
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candidate with documented experience in the field of knowledge, documentation, and communication of architectural and urban heritage. The candidate must have solid experience in the following areas: graphic
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for the realistic simulation of space images. The work lies at the intersection of computer graphics, space engineering, and autonomous GNC systems, addressing the image rendering needs for lunar landing, in-orbit
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the graphical representation of results. LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers available1Company/InstituteINGVCountryItalyCityROMAGeofield Contact City ROMA Website
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. Knowledge of, or availability to learn, current database programmes and basic digital tools and programmes for graphic design and 3D modelling. Specific Requirements Researchers must not have resided