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developed through large programmes of research. You will aim to develop and validate a computational testing process, which can include patient variability for the biomechanical assessment of fusion devices
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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the Cambridge Brain Tumour Imaging laboratory is a unique laboratory involved in using imaging and other techniques o guide and improve surgery. This project is funded through the NIHR HealthTech Research Centre
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perfusion as people age with various comorbidities (hypertension, hypotension, obesity) will preserve oxygen supply to the brain. MRI and two photon imaging are used in animal models to understand
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. Understanding the process of droplet impact and freezing dynamics at high airspeeds, on textured and non-textured surfaces is critical to deciphering the physics behind ice adhesion and accretion. Previous work
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. Natural circulation loops (NCL) will be an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR
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generator. Expose them to subzero temperatures to induce freezing. Fragmentation Observation: Use high-speed cameras and laser imaging systems to record and analyze the freezing process and the resulting
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, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self
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ResTOrES project will develop, test, and demonstrate a prototype resilience assessment toolkit for offshore energy systems. The toolkit will enable the quantification of resilience in terms of appropriate