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for Enhancing Decision-Making in Networks of Autonomous Agents”, which aims to develop a new methodological framework to improve decision-making in autonomous systems. The project combines high-frequency radio
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be followed: Q1: How can an agent leverage multi‑modal expert demonstrations (e.g., vision, force, proprioception) to acquire coherent and transferable mobile manipulation skills? Q2: How can an agent
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communications Quantum communications Computing & Networking: QuMIMO, Quantum Error Correction, Multi-partite systems, Q Network Coding, HQCNN - Hybrid Quantum-Classical Neural Networks Security & Logic: QRL
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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circular Netherlands by co-creating and designing an agent-based model of the Metropolitan Region of Amsterdam (MRA). The world is facing many ecological and political challenges, many of them rooted in
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23 Jan 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Civil engineering Engineering » Industrial engineering Researcher Profile First Stage
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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complex dynamics. In parallel, collective decision-making mechanisms (e.g., opinion dynamics) will be leveraged at the high level to coordinate the desired behaviours of multi-agent systems in response
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) for general criteria for the position. Preferred selection criteria Practical experiences with networked systems and multi-vendor environments Experience in teaching, preferably on master level Personal
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for Mathematics and Computer Science in the Netherlands, located in Amsterdam. The IAS group has an extensive experience in developing and applying computational intelligence and multi-agent systems techniques