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available for 4 years in the first instance. To apply online for this vacancy and to view further information about the role, please click 'Apply' above. Please quote reference PR49246 on your application and
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of an ageing population. The postholder will support the programme through the application of a range of techniques and/or to collect and analyse data that enable the project to progress. This position involves
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
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materials, gathering and analysing quantitative data, conducting systematic literature reviews, contributing to publications and conference presentations, and supporting the day-to-day administration of
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during primary school visits across Leicester and the East Midlands, ensuring data collection is carried out to the highest standards. Alongside fieldwork, you will support the research team with data
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational
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, the post holder may also undertake behavioural and neuroimaging studies involving children, adolescents, and children with antisocial behaviours, as well as being part of large-scale online data collection