Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
of the Clinical Personalization Model and Multi-Agent Architecture. Platform deployment and maintenance. Where to apply E-mail [email protected] Requirements Research FieldEngineeringEducation LevelPhD
-
10 Oct 2026 Job Information Organisation/Company CNRS Department Institut de Chimie des Substances Naturelles Research Field Chemistry Environmental science Researcher Profile First Stage Researcher
-
scales. The successful candidate will join the Systems Biology group and will be supervised by Professor Anna NIARAKIS. Job description : Creation of a multi-scale predictive digital twin of the retina
-
corporate data, documents, applications, and workflows, ensuring traceability, human oversight, security, and operational transparency. Where to apply Website https://www.urp.cnr.it/system/files?file=2026-09
-
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
-
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
-
with a doctoral degree. Start date: 1st of December 2026 Project description The multi-disciplinary center for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research
-
Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
-
resources. This PhD will develop learning methods for coordinating such agentic systems under changing network conditions, incomplete information, and operational constraints. The research will build