31 post-doc-computer-science Fellowship positions at University of London in United Kingdom
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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Applications are invited for this PhD training programme to commence in September 2026. Led by the London School of Hygiene & Tropical Medicine, this PhD Programme is offered by five UK and six
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About the Role The post is based in the Centre for Trauma Sciences within the Centre for Neuroscience, Surgery and Trauma at the Blizard Institute. The Trauma Sciences research team
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the programme. You will also support the development and evaluation of a new Ubuntu Master Trainer programme. The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and
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R or Stata, are essential. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term until 30 June 2029. The post is funded by the Economic and Social
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). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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of Ghana School of Public Health (UGSPH). The post will be managed by Dr Chido Dziva Chikwari and Dr Rachel Scott, the MSc SRHPP co-Programme Directors. Applicants must have a postgraduate degree, ideally a
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
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Research Fellow. The successful candidate will be a medical doctor with experience of providing cancer treatments (radiotherapy or surgery), and will join a new NIHR-funded research project called TACTIC
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. The post-holder must have a postgraduate degree, ideally a doctoral degree (for Research Fellow) or a doctoral degree (for Assistant Professor) in epidemiology, medical statistics or health data science