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/ habilitation thesis). Tasks: The successful candidate will contribute to one or more of the following focus areas: Human-Centered Design and Interaction: advance understanding of human sensory perception, trust
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multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties As a PhD
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or exchanging information with others; Able to hear including receiving detailed information orally; And able to see including color, depth, perception, or clarity Environmental: Must be able to sit for long
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(CAusal NEuro-Symbolic approach to integrating perception and abstract reasoning) led by prof. Sara Magliacane. Join us! AI is a vital part of many real-world systems, but several concerns remain about its
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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) consumer preferences and nutrition quality perceptions of food products grown using various regenerative agricultural/processing techniques and production/processing inputs. The successful candidate will
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and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple RDI projects. Duties As a
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competitive robotic behaviours Data-driven and learning-based control methods Embodied intelligence, where perception, control, and physical interaction are tightly coupled The successful candidate will work
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scene synthesis and procedural world-building AI-assisted asset creation and semantic scene enrichment Synthetic data generation for perception and simulation Embedding real-time inference within
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these neurons in rats, in order to find out how the cells “know” which direction the animal is facing. This process involves a mixture of sensory perception (for example of the visual scene) and learning (is this