37 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at The University of Southampton
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the Digital Services application support team who are responsible for the digital services that underpin the work of NIHRCC and also offer support to the School. Further information can be found at: https
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with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). We particularly welcome applications from candidates whose research can contribute to one or more of our cross
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Research Collaboration (UKCRC) registered unit and was set up in 2006 to design and conduct academically led clinical trials. The Unit employs trial managers, data managers, statisticians, regulatory staff
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project specialists working on producing data on population distributions and characteristics at high spatial resolution. WorldPop | University of Southampton WorldPop has a diverse portfolio of projects
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concerning data capture, structure and presentation, and a range of services that allow content to be accessed in a variety of ways. We support our many customers by maintaining our own Linux based virtual
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opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information
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methods. It may also include quantitative data analysis. The post-holder will take a role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and
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clicking on 'Apply Now '. For further information prior to submitting your application, please contact Paul Davie (Chief Operating Officer) on p.davie@soton.ac.uk , or the People Team on suhr@soton.ac.uk
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engineered cytotoxic invariant Natural Killer T (iNKT) cells for precision targeting of paediatric cancer neoantigens. Building on strong preliminary data, it combines mechanistic and translational immunology
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. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead