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PhD Studentship: QoE-Driven Agentic AI for Automated Bug Discovery in Video Games (Collaborative Doctorate with Sony Interactive Entertainment) Video games are complex, continuously updated, and
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regimes; and machine learning, capturing complex nonlinear behaviour at the cost of model opacity. BENEFIT synthesises these paradigms by integrating stability analysis directly into machine learning
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What you’ll be doing In the Complex Dynamical Systems Group (Prof. Andreas Kugi) and in close cooperation with an internationally active, industrial research partner you will develop new methods
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Application deadline: 21 May 2026 Apply now Today’s social media platforms are actors with a complex stake in shaping knowledge about global crises like climate change. Recent developments even reflect
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technological landscape, driving innovation that extends well beyond defence. Foams are used across industries—from aerospace to packaging—providing cushioning during transit, thermal insulation, and structural
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will explore how semantic digital twins can automate the generation of control-oriented models and how LLMs can facilitate natural language interaction with complex building management. The developed
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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French research laboratories working on thermophotovoltaic cells, photonic structures, and energy-conversion systems. This collaborative environment will provide the candidate with exposure to optical
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allocated to each, duly documented – 20% of AC; - professional experience (35% of the total score), considering the performance of activities inherent to the position and their degree of complexity, duly
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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific