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for rhabdomyosarcoma, a rare and aggressive paediatric and young adult cancer with significant unmet clinical need. This is a wet lab position based in the Centre for Immuno-Oncology within the Nuffield Department
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annum. This is a full time, fixed term position for 2 years from 1st October 2025. We are looking to appoint a medical statistician into an exciting role within the NIHR funded DREaMED project
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candidate should normally have received the degree of PhD or DPhil in Philosophy or a related discipline, or at least have submitted a completed doctoral dissertation for examination, by the advertised
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analytical and statistical approaches and in setting the direction of the research project, with novel research ideas. It is essential that you currently hold a PhD in a related field (e.g. genomics
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computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust. You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a
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research projects, coordinating different aspects of work to meet deadlines. It is essential that you hold, or are close to completing, a PhD/DPhil in Neuroscience, Biology, Molecular Biology, or a related
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considered of Assistant or Associate Professor rank. Therefore, the School welcomes applications from early career candidates (i.e., scholars who have recently completed or will very soon complete their PhD
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will analyse immunological data from the ChAdOx1 NipahB vaccine trial, aiming to help identify a set of immune markers which might serve as early correlates of protection against Nipah virus disease
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collaboration with the research team. Additionally, you will provide guidance to laboratory and biostatistical staff, assisting with project-related tasks as needed. You must hold a PhD either in Bioinformatics
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recently as a result of a number of successful funding applications and continues to be at the cutting edge of vaccine R&D. This position is offered full-time on a fixed-term contract initially for 2 years