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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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to achieve a higher degree during the fellowship (e.g. PhD) and will need to have excellent academic and organizational skills, ideally with previous experience of data analysis and/or genetics. About the
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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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
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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, 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
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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
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addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-08-R. Informal queries about the position can be directed to Chido Dziva Chikwari, SRHPP Programme Director (chido.dzivachikwari@lshtm.ac.uk
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fellow position is available to join an interdisciplinary team evaluating the health and well-being benefits of clean energy access in The Gambia, West Africa. The post-holder will work in close
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Drakeley and Dr Julius Hafalla, primarily focused on immunoepidemiology, as needed. The post holder will be responsible for the generation and curation of laboratory and epidemiological data from different