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the sustainability and impact of generative AI at LBS. Main Responsibilities Involved in ongoing delivery of broader initiatives as set out by the School's Data & AI strategy, and Technology Strategy. Define and
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of complex, large-scale R&D activities, working across academic, creative, and tech sectors. This role is ideal for someone who enjoys building processes, thrives on solving problems collaboratively, and has a
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
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, whilst desirable, is not essential but the successful candidate will be a quick learner and able to process large volumes of information quickly. They will be proactive in their approach to work and able
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labour markets, family economics and/or development; Good knowledge of applied econometrics; Experience working with large micro data; Experience using statistical software Stata or R, at advanced level is
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, the largest school of public health in Europe. We work collaboratively with health professionals world-wide to conduct large multi-centre clinical trials aimed at improving patient outcomes in life threatening
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of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders
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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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epidemiology team of the Veterinary Epidemiology, Economics and Public Health group for an enthusiastic and motivated self-starter to work on a large-scale Horserace Betting Levy Board-funded project
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, development, implementation, and coordination of research and laboratory protocols to investigate transmission of enteric pathogens in low-income households of Salvador, Brazil within the context of large-scale