Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Groningen
- CNRS
- Cranfield University
- ETH Zurich
- RMIT University
- University of Bergen
- ;
- ; University of Aarhus
- Aalborg University
- CWI
- ETH Zürich
- Ghent University
- Inria, the French national research institute for the digital sciences
- Linköping University
- Max Planck Institute for Sustainable Materials •
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- University of Adelaide
- University of Bremen •
- Uppsala universitet
- Utrecht University
- 11 more »
- « less
-
Field
-
. Focusing on adaptive intelligence, which blends human creativity and machine intelligence, the project will develop Multi-Intelligence Agents (MIAs) to facilitate the seamless integration of social factors
-
@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
-
May 2025 Apply now In human society, communication is an effective mechanism for coordinating the behaviors of humans. In the field of deep multi-agent reinforcement learning (MARL), agents can also
-
experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
-
supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ . Your work assignments
-
: Springer, 2011, pp. 34–48. doi: 10.1007/978-3-642-23808-6_3. [4] C. F. Hayes et al., ‘A practical guide to multi-objective reinforcement learning and planning’, Auton. Agents Multi-Agent Syst., vol
-
Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
-
of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
-
), this PhD aims to develop new approaches for multi-omic analysis via artificial intelligence. The doctoral researcher (M/F) will be tasked with designing an innovative linguistic agent system, interacting
-
, flexibility, and adaptability of autonomous systems. Address multi-agent operations, where interactions between agents are intricate and interconnected. Ensure that the develop methodologies provide