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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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research fields. Experience in developing and implementing AI-agentic workflows for experimental automation, data analysis, and autonomous decision-making. Demonstrated experience in multi-parameter
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of the Clinical Personalization Model and Multi-Agent Architecture. Platform deployment and maintenance. Where to apply E-mail [email protected] Requirements Research FieldEngineeringEducation LevelPhD
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following tasks will be carried out: 1. Develop a hybrid neurosymbolic reasoning engine for verifiable multi-step inference. 2. Orchestrate continuous learning in agents that compose specialist models, detect
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, the following tasks will be carried out: 1. Develop a hybrid neurosymbolic reasoning engine for verifiable multi-step inference. 2. Orchestrate continuous learning in agents that comprise specialist
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Therapeutic Agents As part of the ANR Gb3Down project, which brings together the ICSN in collaboration with the Institut Curie, the University of Versailles Saint-Quentin-en-Yvelines (hospital), and a
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AMD using omics data generated within the consortium. The models will then be integrated into an agent-based multi-scale model (ABM) to create a digital twin of the retina affected by AMD, simulating
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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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-generation Agentic AI platform for enterprise environments, capable of supporting autonomous, collaborative, and secure agents in managing complex, knowledge-intensive processes. The platform will integrate
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 months ago
workflows and measuring the trade-offs between privacy, utility, security and system performance. The expected outcome is a robust agentic framework that supports safe multi-agent interactions while