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transport networks to other energy sources and expanding new infrastructure. Planners and policymakers face several challenges, including long construction and retrofitting lead times, which can be several
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curiosity. Enthusiasm for innovative questions and enjoyment of independently developing research methods Our Offer: We work on the very latest issues that impact our society and are offering you the
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will build upon state-of-the-art techniques to address the key challenges from our industrial partners in a structured manner, for example: What type and severity of fault and attack can be tolerated and
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, GenAI, and IoT/5G on organisations from both the private and public
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
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characterization is an advantage Excellent cooperation and communication skills complete your profile Proficiency in written and spoken English is essential Our Offer: We work on the very latest issues that impact
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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expertise and facilities in electrochemistry, materials chemistry, advanced characterisation techniques (including a variety of spectroscopy, microscopy,) modelling and battery and fuel cell construction and
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activities are focused on the modelling of the mechanics of structures, components, and processes along with involved materials, thereby providing mechanics-based solutions and virtual solution tools to our
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is often fragmented or lacking. One major challenge lies in the limited monitoring of both environmental and social indicators, making it difficult to assess the true impact of community-based nature