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an enthusiastic and highly organised individual to work on a two-year research programme on hydration and health. The successful candidate will work alongside Professor Neil Walsh and his team on an industry-funded
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have demonstrable experience in the statistical and computational methods underpinning statistical genetics research. You will bring strong quantitative and programming skills, experience working with
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completing) a PhD in statistical genetics, genetic epidemiology or an equivalent field, and you will have demonstrable experience in the statistical and computational methods underpinning statistical genetics
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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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skeletal muscle metabolism and how exercise affects it. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division
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(CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery. The postholder will contribute
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the M3 4Impact expansion programme. A key part of this role of this will be supporting researchers to get the best out of the University’s High Performance Computing (HPC) environment, assisting
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of public health economic modelling and microsimulation. You will work with Prof Hazel Squires and Prof Tracey Young on the first programme of research and Dr Sarah Bates and Professor Alan Brennan
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Professor. Janine Kavanagh, Dr. Katy Chamberlain and Professor. John Wheeler. Funding is available for up to 24 months. The position is open from 1 May 2026 and is anticipated to commence no later than 1
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About the role We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer