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programme Reference Number AE2026-0090 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0090
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
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Yorkshire Cancer Research funded, multi-centre, adaptive clinical trial platform. The position is based within Sheffield’s Translational Neuro-Oncology Research Group (STraNO) in the School of Medicine and
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-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
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compromise system integrity, safety, or performance. In this project, the research done by the PhD student will address the interaction layer in a multi-agent systems. It will focus on how to secure
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LLM-agent-driven tools that reconstruct network topology, services, and administrator intent from partial information during crises, enabling rapid situational awareness across diverse, multi-vendor
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learning, and multi-agent learning (e.g., game theory). Funded by Ministero dell’Università e della Ricerca under the FIS3 Call (Fondo Italiano per la Scienza). Project FIS-2024-05736 (Starting Grant), title
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(statistical and/or computational); and, where appropriate, their implementation and experimental validation through simulation. The research will make use of techniques from online learning and multi-agent
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
applied mathematics, control, or related fields, with knowledge in several of the following areas: Graph theory and network modeling Dynamical systems and physical modeling (ODE/PDE, multi-agent systems
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TEC. 2. OBJECTIVES: - Review of techniques and work related to Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and the integration of heterogeneous data sources