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will focus on three interconnected challenges: 1) Novel Inverse Reinforcement Learning (IRL) for Optimal Stopping Traditional IRL methods are not designed for noisy, trajectory-based optimal stopping
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://research.nottingham.edu.cn/en/persons/jie-yu About the Project. This research project aims to explore innovative strategies for green supply chain management and carbon footprint optimization in the context of dual carbon
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compared to those produced via hand layup. Selecting the optimal combination of prepreg, reinforcement, and film to suit the complexity of a specific component prior to production trials is another critical
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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design and optimization of hydrogel coating systems. The innovation lies in establishing a closed-loop workflow specifically for interfacial mechanics, with multi-scale integration and physics-informed
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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optimization. Create, edit, and publish web pages and landing pages within the StoryBlok CMS, maintaining quality and consistency across the site. Take a lead role in shaping and maintaining the site’s
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information about this on the UK Visas and Immigration Website . The University of Reading is seeking to recruit a PDRA in Holocene Vegetation Modelling to apply an eco-evolutionary optimality model of gross
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research