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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research
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). These disturbances are often intermittent and difficult to measure in clinics. Virtual Reality (VR) platforms may provide a new way of monitoring vision at home and may empower patients to provide much more accurate
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, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can
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the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of
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models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models), multimodal vision and language models
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provided. Overview This PhD is an opportunity to take part in research into advanced neuroprosthetic solutions to bringing sight back to the blind (i.e. bionic vision). The Newcastle Visual Prosthesis
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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This exciting opportunity is based within the Composites Research Group at Faculty of Engineering which conducts cutting edge research in advanced manufacturing of high-performance composites Vision
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of Engineering), Mike Pound (Computer Vision, Computer Science Department), and Darren Wells (Plant and Crop Biophysics, School of Biosciences). Who we are looking for An enthusiastic, self-motivated, resourceful