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of Edinburgh. The Fleming Fund Fellowships at the University of Edinburgh build knowledge and capacity in southern and east Africa to tackle the global challenge of antimicrobial resistance (AMR). We are now
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The School of Informatics, University of Edinburgh invites applications for a postdoc to undertake novel research at the intersection of computer vision and machine learning. The candidate will be
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Full-time: 35 hours per week Fixed-term until 31 December 2025 We are looking for an enthusiastic Project Officer for the Fleming Fund Fellowship Schemes at the University of Edinburgh. The Fleming
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Honours programmes in Biomedical Informatics that are delivered, in English, at the International Campus of Zhejiang University at Haining in China by staff based at the University of Edinburgh, Zhejiang
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Honours programmes in Biomedical Informatics that are delivered, in English, at the International Campus of Zhejiang University at Haining in China by staff based at the University of Edinburgh, Zhejiang
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EPCC at the University of Edinburgh is the UK’s leading centre for Supercomputing and Data Analytics. We are seeking a Data Architect to work as technical lead in maximising the capabilities
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and Nano Systems at the University of Edinburgh, which is funded by Engineering and Physical Sciences Research Council and in collaboration with colleagues at Universities of Glasgow, Heriot-Watt and
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Fixed term, Guaranteed hours contract: 100 hours The Opportunity: We are looking for a Teaching Fellow in International Law to deliver a 3-week intensive course to a group of visiting international students. The successful candidate will be a graduate with relevant teaching experience and, have...
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learning approaches for biological design, and the PDRA will work closely with data scientists at the University of Edinburgh to build predictive models that can accelerate the design of genetic circuits in
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for machine learning approaches for biological design, and the PDRA will work closely with data scientists at the University of Edinburgh to build predictive models that can accelerate the design of genetic