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of automating the process of optimising developer productivity in game software development at Electronic Arts Limited. Electronic Arts (EA) was a pioneer of the early home computer game industry and is now a
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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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alto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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team led by Prof. Kai-Kit Wong. The post is available now for 12 months in the first instance. Further funding to support the post may be available. About you Candidates should have a PhD degree (or
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supervision of Prof. Vanni Noferini. Your role and goals You will work on the theme of “Matrix nearness problems via Riemannian optimisation’’. Areas of mathematics that are relevant include matrix theory
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stochastic optimisation techniques and game theory models. · Experience of conducting high quality academic research. · Experience of preparing academic papers. · Ability to assist in
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or interest in game theory, tax competition and fiscal federalism, welfare economics, environmental economics, public economics is a plus Ideally Working knowledge of programming languages such as Mathematica
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(Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics Excellent command of written and spoken German and English (C1 Level) Basic IT
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) Mathematics, or a related discipline (Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics Excellent command of written and spoken