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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
, data-driven methodologies for the control and estimation of dynamical systems have gained increasing attention, driven by both theoretical advances and the availability of large amounts of data
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interaction and collaboration • AI-driven sensing, perception, and control • Multi-agent and distributed robotic systems • Embodied intelligence and cyber-physical systems Sustainable Energy, Clean Energy, and
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• Human-robot interaction and collaboration • AI-driven sensing, perception, and control • Multi-agent and distributed robotic systems • Embodied intelligence and cyber-physical systems Sustainable Energy
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
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, Mechatronics, and Autonomous Systems • Intelligent robotics and autonomous machines • Human-robot interaction and collaboration • AI-driven sensing, perception, and control • Multi-agent and distributed robotic
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, or flexible objects, advanced sensing, and artificial intelligence for inspection and quality control operations. WORK PLACE INESC TEC, Porto, Portugal WORK AREA: Robotics and Automation The selected candidate
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UiO/Anders Lien 1st August 2026 Languages English English English PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars Apply for this job See advertisement About the
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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 DEAN OF THE FACULTY OF CONTROL, ROBOTICS AND ELECTRICAL ENGINEERING POZNAN
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
) closed-loop materials discovery, e.g., Bayesian Optimization, autonomous analysis of patterns, spectral data or cell-level testing. Experience with predictive control of the synthesis robotics and reaction
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Division has established world-class research excellence in foundational areas—including control systems and decision sciences—as well as in applied domains such as robotics and autonomous systems, power and