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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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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