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manufacturing and materials for extreme environments. Generate original research ideas and lead innovative projects that result in multiple high-impact publications annually. Mentor doctoral students and engage
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, timely, reliable data? How do we transfer models and data sourced from multiple, heterogeneous lifts? How do we model uncertainty and explainability of safety assessed by data and AI? How do we design
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multi-modal AI models that can effectively handle uncertainty and generate reliable outputs. This is an exciting opportunity to work at the cutting edge of AI research. Your work will support safe
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for improved reliability and asset utilisation. Proposals for future offshore electrical power grids will use multi-terminal High voltage DC transmission, a relatively new concept. This PhD will consider multi
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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diagnosed too late, delaying intervention until after critical neuroplastic windows have passed. Recent guidelines have outlined reliable tools for early CP detection, combining brain MRI, EEG, and clinical
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded