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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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dynamic, practice-led learning environment and help develop the next generation of creative media professionals. As part of our established Creative Media portfolio, you will play a key role in the
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monitoring, infrastructure inspection and emergency response. This PhD will develop a mathematical and algorithmic framework to assess and improve the resilience of FL‑enabled autonomous systems under
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) until 31 March 2027 (with the possibility of an extension). The appointed candidate will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimisation
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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to an ongoing project in the exciting and contemporary area of mmWave RF Engineering. Under expert supervision, you will help research and develop a new generation of integrated circuit (IC) concepts for mmWave
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develop and validate novel LiDAR and vision-based algorithms, integrate these with a robotic manipulator and conduct laboratory and commercial field trials. The researcher will also work closely with
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, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime
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to, quantum complexity theory, quantum algorithms, the underpinning mathematics of quantum computation, and quantum computing interfacing with neighbouring disciplines. The post-holder will be responsible