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Faculty of Humanities and Social Sciences PhD Scholarship available in the School of Economics, University of Nottingham Ningbo China. See: https://www.nottingham.edu.cn/en/GraduateSchool/Funding
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, fully-funded PhD student focused on control, optimization, game theory, and embodied intelligence in robotics and autonomous systems. This is a unique opportunity to work on a project combining cutting
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conducted to assess the feasibility of prototypes in terms of activity tracking, updating game elements, and visualisation capabilities. The second objective of the thesis is to develop models and algorithms
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of the student, suggested tasks will be to: – Design, prepare and lead the first-stage small-scale behavioral experiments, with a prototype of the game before its large-scale distribution. – Analyse the data
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change when firms develop or adopt AI models how firms can retain strategic control in an economy where global platforms often set the rules of the game. You will work closely with both startups and
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(Index 33) specialized in integrated wildlife monitoring, to develop an R&D agenda in the area of wild-game resources, with fieldwork experience and integration in research teams in Ecology and Health
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the scientific challenge of developing AI agents that can play games, generate gameplay data at scale, and automatically extract meaningful gameplay features linked to human experience. Your Role: You will design
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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gameplay affects player experience. You will study gameplay as behaviour, engineer human-centred gameplay features, and develop methods to link in-game actions to cognitive and experiential outcomes
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed