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Deadline: Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Prof David Dockrell (The University of Edinburgh), Dr Brian McHugh (The University of Edinburgh), Dr Clark Russell (The University of Edinburgh) About the Project Macrophages are key innate immune cells with...
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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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The School of Economics at the University of Edinburgh is offering a number of scholarships for PhD study starting in September 2026. All of the scholarships are awarded on academic merit. To obtain
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interdisciplinary environment, gaining expertise in: Biomedical image analysis, omics, genome editing, and molecular biology High-content and label-free imaging Tissue culture, microfluidics, and bioengineering
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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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/experience in a related field of study. The successful applicant will be a nationally recognised authority in AI (including but not limited to computer vision, natural language processing, optimization) and
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at the William Harvey Research Institute (WHRI , Queen Mary University of London, QMUL ), whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and
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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