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process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly. Further details and apply
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multivariate longitudinal models. The applied work will use large scale electronic health records data, including CPRD (Clinical Practice Research Datalink) and UK Biobank, and develop evidence synthesis methods
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linked to a higher risk of preterm birth. This work will inform guidance from WHO about whether to use the vaccine. The post-holder will work with Prof Mark Jit and will join a team of modellers
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build on the development of P. knowlesi as an innovative and powerful model to understand how malaria parasites are able to invade host cells, a process that underpins infection and disease. The work will
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in quantum circuits by a Quantum fluid Bath – SQuBa”, a joint project between the Quantum Technology Department at the National Physical Laboratory (NPL) and Royal Holloway University of London
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“early adopters” changed from conventional diets to sustainable diets and how we can use that information to accelerate dietary change among the critical mass. In the post, you will play a leading role in
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of Physics, within the School of Engineering, Physical and Mathematical Sciences (EPMS) at Royal Holloway, University of London, and in collaboration with CERN. The luminosity upgrade of the Large Hadron
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the intervention and evaluation, drafting study documents, applying for ethical approval, data analysis and writing up. For the Research Fellow post, the successful candidate will hold a postgraduate degree, ideally
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public and global health research, education and translation of knowledge into policy and practice. We are seeking to appoint a Research Fellow to apply machine learning and artificial intelligence
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of Physics, within the School of Engineering, Physical and Mathematical Sciences (EPMS) at Royal Holloway, University of London, and in collaboration with CERN. The luminosity upgrade of the Large Hadron