14 postdoctoral-image-processing-in-computer-science PhD positions at The University of Edinburgh in United Kingdom
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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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to the controls (Mason et al., 2023 Communications Biology). In this project, we aim to further optimise our OCE imaging platform and apply new methods (e.g. Quantitative Phase Imaging (QPI)) to expand
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) About the Project Unravelling the outcomes of cell–cell interactions is fundamental to understanding biological processes. The ability to visualise and track these interactions in vivo greatly enhances
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, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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that respond dynamically to external forces. Such possibilities challenge conventional thinking in engineering and design. By studying how stresses, geometry, and material properties interact, we can develop
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supervised by: Dr Joschka Roffe, School of Informatics, University of Edinburgh Dr Stergios Koutsioumpas, School of Informatics, University of Edinburgh Dr Vivek Chidambaram, National Quantum Computing Centre
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Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme:study.ed.ac.uk/programmes/postgraduate-research/491-informatics-ilcc-language-processing-speech
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, immunostaining and image analysis; measurement of soluble mediators using muliplex ELISA; isolation of cells from tissue and blood, cell culture and ex-vivo assays; metabolic profiling including SCENITH assay and
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30 Oct 2025 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Civil engineering Engineering » Geological engineering
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an