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junior researcher with a quantitative background and knowledge of game theory. You will contribute to an interdisciplinary research project that investigates how criminal risk can be modeled and how
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational