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sectors for applications of artificial intelligence (AI). Precision agriculture (also named cognitive or digital) is based on “big data”, often collected via drones or satellites, to supply adequate
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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices
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management, analytics, machine learning, and artificial intelligence. Its objective is to contribute to the advancement of scientific knowledge in the field of data-centric systems by addressing the challenges
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of the University of Udine in the academic Year 2026/2027, 42th cycle: - Computer Science and Artificial Intelligence; - Molecular Medicine; - Food Science; - Environmental and Energy Engineering
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research investigates how digital technologies and artificial
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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to classify landslide types primarily using geological and geomorphological data The Research Assignment is aimed at developing Artificial Intelligence (AI) models, mainly CNN and ViT, for the automatic
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of artificial intelligence across public administrations and enterprises. Its impact, however, will depend on how legal obligations are translated into organizational processes, procurement strategies, and
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation