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smartest, most driven people in the world trying to take our money -- and if we don’t stay at the very top of our game in research, technology, and economics, they will. And while the highly-publicized wave
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-information.html#Academic-Staff This project is conducted under the auspices of the consortium Emergence at all Scales (EAAS). EAAS is the national flag-carrier of the NWA route 2 game changer Dutch Institute
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ecological niches in which early humans evolved language. You will be directly responsible for the swarm robotics side by designing and executing an interactive, foraging-navigation game, both simulated and in
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game in Virtual Reality. For this, knowledge of experimental design and specifically VR is required. You will also work closely together with our swarm robotics lab to ensure the creation of comparable
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Science, Economics, Mathematics, or a closely related discipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track record with publications in relevant
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that incorporates data
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and de-fossilizing 1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track