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techniques. The objective is to design architectures capable of processing and correlating information from heterogeneous sources, ensuring reliability and adaptability in real-world and dynamic contexts, with
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. The goal of this PhD Thesis is to bridge these dimensions, moving beyond rigid profiles to develop adaptive, context-sensitive persona models. By integrating deep profile characteristics with real-time
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for the manufacturing sector, focused on regenerative models and operator-machine interaction with a view to Industry 5.0. Algorithms will be studied for the personalized adaptation of interactions, improving efficiency
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, which investigates how seasonal adaptation reshapes sensory processing and behaviour in the invasive fruit fly Drosophila suzukii. The project combines functional calcium imaging, behavioural experiments
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participatory initiatives concerning the urban regeneration of the municipal territory, aimed at developing a strategy for the regeneration and adaptive reuse of spaces and buildings throughout the Municipality
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applications. ● Research and development of real-time estimation algorithms and adaptation to operating conditions Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility
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actions, with the goal of improving the robots' ability to perform robust and generalizable manipulation tasks. Particular attention will be paid to adapting and evaluating VLA models in scenarios
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edge devices in distributed and collaborative IoT scenarios; ii) strategies for efficient and adaptive learning on-device or across a network of heterogeneous nodes while minimizing energy consumption
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a multimodal system that continuously monitors key physiological metrics, as well as behavioral and contextual information, using heterogeneous sensors. Where to apply Website https
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of the adaptive capacity of both animals and farming systems. Where to apply Website https://pica.cineca.it/unicatt/ Requirements Additional Information Eligibility criteria Eligible destination country/ies