-
fellow position within the William Harvey Research Institute at Bart’s and The London Medical School, Queen Mary University of London (QMUL). The post-holder will work on projects including the PinG study
-
this Fellowship. The Fellowship will be for a period up to 6 months (normally between January and June 2026), based in Paris or London, or split between the two cities. As a Fellow, you will develop a programme of
-
team of seven investigators at Royal Holloway, where this post will be based, and RHUL/NPL joint PhD students. Royal Holloway is a partner in the Oxford-led QCI3 Quantum Hub. We are collaborating with
-
team of seven investigators at Royal Holloway, where this post will be based, and RHUL/NPL joint PhD students. Royal Holloway is a partner in the Oxford-led QCI3 Quantum Hub. We are collaborating with
-
Commission (ITC); offering an early career EHR scientist a unique opportunity to develop a transnational research portfolio. We wish to appoint to a full-time position in the Department of Non-Communicable
-
PhD) while conducting highly policy relevant research. Applicants should have a postgraduate degree with MRCP or MRCS. Relevant clinical experience in providing cancer treatments, co-ordinating clinical
-
, Professors Ruth Keogh and Kate Walker. Applicants should have a postgraduate degree, ideally a PhD, in medical statistics, epidemiology, health economics or a related field. Relevant experience in applying
-
the environmental burden of antimicrobial resistance, posing risks to animal and human health. The position offers exciting research prospects at the multidisciplinary interface of quantitative epidemiology, food
-
& International Health is seeking to appoint a Research Fellow to conduct an impact evaluation to measure how successful Food for Education (F4E) school feeding program (SFP) has been on the nutritional and
-
computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational