363 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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degree (e.g. infectious disease modelling, epidemiology, medical statistics, health data science, applied health economics, mathematical modelling in another sector) or have equivalent relevant experience
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of Healthy Dads Healthy Kids in Scottish prisons. The successful candidate will significantly contribute to data collection, data analysis, write-up and dissemination of results. They will collaborate with
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking
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targeting translation inhibitor sensitive RUNX1 mutations in chronic myeloid leukaemia’. You will work independently to produce high quality experimental data in the laboratories of the Biochemistry
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of this role is to support the successful delivery of a mixed‑methods research study, contributing to all stages of the project’s design, implementation, data collection, and dissemination. Working under
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Safety Academy and Quality, Reliability and Teamwork Research Unit. Specifically, they will be working to supervise data collection, cleaning and analysis and helping in the writing up and publication
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might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page. For research and academic posts, we will consider eligibility under the Global
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interviews with patients and analyse qualitative data. The post holder will be responsible for arranging and conducting the interviews. The research will be conducted in Birmingham and London, and the
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have collected rich data for understanding the preferences of citizens regarding which policies their governments ought to enact, as well as for investigating where these preferences do and do not exist