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motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
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systems using principles from economics, game theory, and market design to ensure sustainable and fair development for providers and users. Develop software components, simulation tools, or prototype
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 17 hours ago
, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus. LanguagesFRENCHLevelBasic
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motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
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novel project aimed at transforming the use of wargaming in the UK defence community by integrating cutting-edge Artificial Intelligence and Second Order Theory of Mind into interactive game design. You
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principles from economics, game theory, and market design to ensure sustainable and fair development for providers and users. Develop software components, simulation tools, or prototype systems that integrate
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business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our
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motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
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world to get them implemented and scaled up. We are looking for candidates with a Ph.D. in economics, management, political economy, or related areas with expertise either in game theory, particularly mechanism
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, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory