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Field
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it is important to assess their performance, sustainability and safety, to maximize their positive effects. The Unit achieves its objectives by combining pre-normative experimental research and desktop
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into practical performance solutions. The “Travel, sleep and fatigue optimal management for long-haul performance” PhD programme will focus on mitigating circadian and travel fatigue challenges associated with
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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differential game will be constructed to find the optimal reinsurance policy by considering the interaction between the insurer and the reinsurer. More chapters will be considered if the first two chapters run
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of the optimal cooling technology. Integrate these digital twins into other platforms, such as mobile applications. Extend the digital twin work for heat stress predictions of humans to assess
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 16 days ago
Mathematical Modelling of kinetic and thermodynamic performance of material to optimize the production process. The research has significant real world impact. It is expected to deliver a step change in