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Kyropoulou and will work in areas related to (Theoretical) Computer Science, Algorithmic Game Theory, and/or Fair Division with potential applications in Blockchain in the context of the EPSRC funded research
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them? The thesis should be rooted in the discipline of law, but also have an economics-related perspective (e.g., efficiency, game-theory). The integration of further disciplinary viewpoints, such as
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human experiments, either in the lab or online. Knowledge of game theory, decision-theory or behavioural economics. Experience analysing experimental data, using R or a similar statistical tool
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to interdisciplinary research at the intersection of blockchain technology, economics, and game theory. The focus will be on designing, analysing, and optimising economic mechanisms in blockchain-based systems while
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(WBF), the proposed doctoral study will explore the possibilities and potential of the mindsport bridge in primary schools in Scotland. Mindsports are competitive, skills-based games, such as chess
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PhD Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization (1.0 FTE)
—such as exhibitions, workshops, or serious games, but by no means limited to these. Participating in academic events and contributing to publications and public engagement. Actively participating in
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
—such as exhibitions, workshops, or serious games, but by no means limited to these Participating in academic events and contributing to publications and public engagement Actively participating in
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analytical frameworks grounded in Mean Field Game (MFG) theory and Multi-Agent Reinforcement Learning (MARL), which are tailored for eCPS. These frameworks will facilitate the creation of effective control
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advantage of lattice vibrations, nuclear quantum, and electrochemical effects, and consequently reformulate classical diffusion theory to consider these game changers. As a result, we will achieve innovative
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assets, in combination with other types of power system assets (batteries, etc.). From a research perspective, this can involve techniques from algorithmic game theory and AI-based mechanism design