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) imaging devices (endoscopes) for detecting cancer in hard-to-reach areas of the body, such as the pancreas and ovaries. Background: Cancers deep within the body are notoriously difficult to detect and treat
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Application deadline: 30/04/2025 How to apply:uom.link/pgr-apply-2425 How many positions: 1 This 4 year PhD project is fully funded and home students, and EU students with settled status
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. The successful PhD candidate will work alongside a team on the URBAN-GeoHeat project. This project
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before determining their visual loss arises from cortical, rather than ocular deficits. Tests of cortical visual function are used rarely except by highly specialised neurology/neuro-ophthalmology
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Generative AI for image and video reconstructions from brain signals DoS Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk) 2nd Supervisor Dr. Giorgio Ganis (Giorgio.ganis@plymouth.ac.uk
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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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closely with members of the Brain Research & Imaging Centre (BRIC) at the University of Plymouth. Ultimately both the imaging and analysis protocols that are developed during this PhD will be utilised in
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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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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, which amongst its wide research portfolio, conducts cutting edge research into the development novel causal inference, automation and robotic control algorithms. We are seeking for a highly motivated PhD