12 computer-programmer-"the"-"FEMTO-ST"-"RAEGE-Az"-"DAAD"-"https:"-"https:" "UCL" positions at The University of Edinburgh
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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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*Rates are for 25/26 as 26/27 rates not yet confirmed Application Information Applicants should apply via the University’s admissions portal (EUCLID) for the PhD programme of the LFCS group in the School
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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at the University of Edinburgh. Candidates currently studying outside of China are eligible to apply, but not those who have already commenced a PhD programme of study prior to the 2025-2026 academic year. The
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methods Programming with Python/Matlab The training programme will prepare the candidate for a broad range of career paths in academia, industry, and beyond. They will also participate in outreach
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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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of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more
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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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, 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
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looking for a researcher with computational expertise, who is interested in integrating and assessing transcriptomic (single cell/nuclei, long-read), proteomic and metabolomic data derived from human