12 computer-programmer-"the"-"FEMTO-ST"-"RAEGE-Az"-"DAAD"-"https:"-"Inserm" "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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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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privilege days & 8 bank holidays), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and
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are invited to apply. However, a research program taking a transnational/global history approach or linking the Asia and Pacific regions will be an advantage. In addition to developing their own research
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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
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Electrosynbionics [1] involves the use of biological parts to create devices that generate electricity, such as biological photovoltaics and biobatteries. Electrosynbionic systems can be sustainable power sources for electronics, supporting the Green Transition. Biosensing involves detection of...