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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a data scientist with experience in natural
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insights. You’re confident working with large, varied data sources, skilled at communicating technical information to non-technical audiences, and have a passion for helping organisations make great
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strategies in a cohort of PIBD patients. You will also support a project examining IBD in Africa. You will play a key role in the analysis of large-scale clinical datasets, collaborating with UK and
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across various Queen Mary departments and Schools. You will be part of a team which proactively manages administrative processes relating to student data within the School, module registration, timetabling
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experience with preparing and planning for large events, displaying exceptional attention to detail and professionalism. To confidently oversee the preparation, set up and running of events such as weddings
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be
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be responsible for the day-to day management of three research grants, including an NIHR funded multi-million-pound programme working in Nepal & Tanzania plus oversight of a large portfolio of
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the way we work, study, and research. As Programme Director, AI, Automation and Application Strategy, you will be a senior member of the IT Services Leadership Team, reporting to the Chief Information