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information about the CDT programme, please visit the CDT website at www.fusion-engineering-cdt.ac.uk or send an email to hello@fusion-engineering-cdt.ac.uk . Candidate requirements: Due to the nature
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developed a unique methodology and software to simulate and analyse the performance of gas turbine engines in the past half century. The research in this area at Cranfield will be a good starting point for
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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power. End-to-end solutions take years to develop and require skills outside traditional quantum engineering and physics. They require Quantum Informatics: enabling the use of quantum technology in ways
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-fidelity industrial simulation. Engineering applications include Formula 1, turbomachinery and nuclear fusion. These problems exhibit complex geometries and challenging time-varying physics which require
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, Synthetic Biology Applied Mathematics, Computer Science/AI, or Control Engineering Biological laboratory skills Programming / Software Engineering Electrical Engineering and robotics prototyping Application
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM