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on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities: Participate in and manage the research
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réponses. L'objectif scientifique est d'identifier des biomarqueurs interprétables et de mieux comprendre les mécanismes neurophysiologiques associés à la perception des environnements. L'objectif appliqué
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develop learning-enabled and perception-driven robotic systems that operate in complex, unstructured environments, with particular focus on: 1) Robot learning and embodied AI; 2) Multimodal perception and
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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Event-Driven Perception for Robotics(https://edpr.iit.it/ ) group, coordinated by
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position is associated with the Robot Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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. Candidates should demonstrate technical proficiency in one or more of the following areas: Embodied AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control
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to recruit a Doctoral Researcher for a 3-year position within the research project Musical Sharing in Copresent Time and Space (MUSICOTAS, https://www.jyu.fi/en/projects/musicotas-2025-2029 ). The contract
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and implementing computer vision and perception pipelines for challenging real-world, multimodal sensor environments, supported by strong expertise in ML, DL and AI algorithms. Proficient in training
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Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and