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complete a higher degree (MD(Res)) at Queen Mary University of London supervised by Dr Thaha and team. The fellow will undertake a limited clinical activity including general surgery, emergency on-calls (SHO
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming
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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
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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
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. Applications are invited for a Research Fellow position in
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application is developing risk prediction models to determine whether and when to stop a class of drugs (renin-angiotensin system inhibitors) in people with advanced chronic kidney disease. The position is in
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to conduct cost effectiveness, cost-benefit, and value for money analysis of the SFP. The role will involve compiling a set of resources and creating new learning materials. The successful candidate must have
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the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-HSRP-2025-07. The supporting statement section
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website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . The supporting statement section should set out how your qualifications, experience and training meet each of the selection