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Primary supervisor Pierre Le Bodic Co-supervisors Daniel Harabor Research area Agents and Decision-Making The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a
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Primary supervisor Pierre Le Bodic Co-supervisors Daniel Harabor Research area Agents and Decision-Making The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
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Apply online now : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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opportunity to work at the intersection of: Large Language Models (LLMs) AI Agents Multi-agent systems Blockchain and Web3 Decentralized Finance (DeFi) AI security and trustworthy AI Duties and
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large language models served at scale, retrieval-augmented generation (RAG) pipelines, a Model Context Protocol (MCP) server framework, sandboxed execution, and multi-agent orchestration—and will
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target pathway to combat multi-resistant pathogens. This project aims to target protein interactions that pathogenic bacteria, like the causative agent of TB, Mycobacterium tuberculosis require to
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recommendations and learn from experience to improve wireless network energy efficiency. The research combines large language models, multi-agent systems, reinforcement learning and knowledge evolution
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-agent systems, swarm robotics or distributed coordination of autonomous agents experience with multi-robot or mission planning, autonomous decision-making or self-adaptive systems experience with robot
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engineering, robotics, electrical engineering or a related field. Furthermore, you should have: experience with multi-agent systems, swarm robotics or distributed coordination of autonomous agents