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, engaging with key stakeholders (e.g., technologists, citizens and governments) to build an understanding of their needs. Based on these findings, you will design and develop e-governance systems
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candidate will contribute to feasibility studies on hybrid propulsion systems, the development of robust control architectures for autonomous docking, and predictive maintenance strategies using real-time
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to perform data work with high accuracy and attention to detail We offer an occupational pension scheme, generous annual leave, hybrid working and excellent training and development opportunities. For further
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-carbon fuel for propulsion. Together we will identify and develop new materials that can be utilised to improve the efficiency of onboard ammonia cracking, which will help to unlock ammonia’s potential as
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: Framework Development: Design and implement a generative deep learning framework for cross-modal integration and analysis, resilient to distribution shifts. Correlation Discovery: Identify interpretable
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can switch these immune responses on or off. The role offers the chance to develop your skills in a world-class research environment using state-of-the-art tools and techniques. You will be based in
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are not limited to): The development of AI-related skills and competencies for project practitioners The factors influencing project managers’ and organizations’ willingness to adopt AI applications
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
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, feature extraction etc, to enhance data utilisation and improve existing models or develop new models for wind energy systems. The candidate will be hired knowing the general area of the PhD will relate
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop