70 high-performance-computing-postdoc positions at Cranfield University in United Kingdom
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performance computing, and engineering software development are also of interest. Proven track record of publishing high-quality journals is required for the Research Fellow position. Ability to communicate
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the computational inefficiencies of physics-based models and enabling faster, potentially more accurate predictions. However, AI models require substantial volumes of high-quality, labelled training data, which
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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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dynamic team in addressing the crucial challenge of recovering resources from waste. The successful candidate will play a pivotal role in a high-profile European project (OLinWASTE) of international
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dedicated Research Fellow to join our dynamic team in addressing the crucial challenge of recovering resources from waste. The successful candidate will play a pivotal role in a high-profile European project
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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-box techniques in the industry is still high. One of the main reasons is that the performance of such techniques highly depends on a large amount of good-quality data. Unfortunately, the availability
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
based within the Manufacturing, Materials and Design theme at the Centre for Digital and Design Engineering (CDDE), which offers access to advanced simulation, visualisation, and high-performance
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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for High-Performance Computing and Future Data Centres 1- AI-Optimized Electronics for Edge and Cloud AI Acceleration – Investigate AI-enhanced data centre electronics, optimizing workload distribution