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. Key research directions may include: Nonlinear control for complex robotic systems Distributed optimization and coordination in multi-agent systems Game-theoretic modelling of cooperative and
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develop a framework based on collaborative AI concept, e.g., Agentic AI or other collaborative Large Language Models (LLMs), that synthesizes actionable intelligence from distributed, heterogeneous data
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 3 days ago
» Veterinary medicine Medical sciences » Epidemiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Paris) Country France Type
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Essential & Desirable Criteria Essential PhD in relevant discipline (computer modelling of logistics or transport, agent-based modelling, sustainable logistics, or energy transitions) or equivalent industry
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for Cybersecurity in Industry 5.0 and Critical Infrastructures: From Data Fusion to Intelligence Fusion”. The aim of the project is to develop a framework based on collaborative AI concept, e.g., Agentic AI or other
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
on bubble coalescence using innovative multicolour thin-film interferometry # Evaluate synergistic effects between ions in recycled water and added frothing agents, and determine film lifetimes for model
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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networks. Participation in national and internationally funded research projects. Contribution to advanced digital twin and agent-based simulation platforms. Opportunities for interdisciplinary collaboration
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atmospheric plasma to treat fibrotic diseases. The agent will join the emerging Innovative Cancer Treatment team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8175-LAUFOU-002/Default.aspx
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization