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programming language skills (C++, Python, MATLAB) would be an advantage. The successful applicant will carry out research activities in the domain described earlier and will disseminate research outputs through
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challenging situations. This project offers prospective candidates the flexibility to plan their research focus across a variety of topics, including but not limited to human-centred and personalised foundation
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and grow with us. This role will lead to the successful completion of an apprenticeship development programme leading to a Level 3 Multi-Channel Marketer Apprenticeship. About You We are looking
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Air Traffic Controller’s Licence with ADI rating, ICAO Level 4 English as a minimum, and a CAA Class 3 medical, and will be expected to maintain this standard for the duration of your employment. You
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areas. Cranfield is part of the national testbed for 6G, researching in the following areas of interest: Real-time specification of 6G telecommunication and edge computing services using Large Language
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to prioritise your workload and work under pressure. You will have a good standard of education to include GSCE English and Mathematics with experience of supporting the efficient delivery of projects. You will
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the Project element or equivalent with a minimum 60% overall module average. the potential to engage in innovative research and to complete the PhD within a three-year period of study. a minimum of English language
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at least one programming language (ideally python). Experience in medical data processing is advantageous. Knowledge of CI/CD practices (e.g., git), containers (docker, singularity, or similar) and
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with: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast