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selection. Either upload a document or write into ‘Personal Statement’. Put code ‘TC118’ in ‘Studentship/Partnership Reference’. When prompted for research proposal, select ‘Write Proposal’. Type in the title
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The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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There is an exciting opportunity for two students to pursue a funded PhD with Angelo Pirrone, Nathan Evans, Giovanni Sala and Konstantinos Tsetsos at the University of Liverpool, starting in October 2025. The project has received funding from the Leverhulme Trust. UK/Home students only.Home...
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Closing Date Sunday 17 August 2025 Reference PHD002-25 A funded PhD position is available on a project funded by the Leverhulme Trust. Description below: The density of information content in screen media
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that sound like something for you? Your working place: The Department of Astrophysics with currently around 100 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical
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PhD studentship, University of Bradford, Faculty of Health Studies Application Deadline: 16 June 2025 Project Title: Remote Working in Diagnostic Imaging: Evaluating Productivity, Support, and