44 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at UNIVERSITY OF SOUTHAMPTON
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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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landscape review of which health parameters are (or should be) monitored in Space, how they are measured today (hardware, protocols, frequency, data quality, anything measured in tandem and how/if AI based
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experience of working in a creative or marketing environment. Your role will be varied, and may include data analysis and reporting, copywriting, event support, advertising, briefing design agencies, project
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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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marketing data and insight to inform decisions and influence campaign strategy. You will collaborate with stakeholders and agencies to produce compelling content, build brand narratives and engage diverse
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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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for intervention. We seek a systematic landscape review of which health parameters are (or should be) monitored in Space, how they are measured today (hardware, protocols, frequency, data quality, anything measured
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communication, organisation and inter-personal skills are required as is a commitment to providing exceptional customer service. It is desirable that candidates have experience of working with large data sets
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technical backlog Develop static and data driven solutions to improve and expand the current offerings on the website Proactively work with our content design and user experience team to define how
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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