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confidential data appropriately. Expectations associated with the post include being highly organised and having the ability to support the team in the development, organisation, promotion and evaluation
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ensure that they have the right to work in the UK or be able to secure this through another means without the sponsorship of the University. Further information about sponsorship is available on the UK
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information can assist in imagining landscapes changing in response to environmental, societal and technological drivers. This project aims to explore how to combine these approaches so they can be used
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representatives. The post-holder will have access to a range of data resources to inform the model, including blood donor cohorts from the COMPARE, INTERVAL and STRIDES studies. It is anticipated the work will
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infectious diseases. Working closely with NHS Trusts, UKHSA and academic partners, you will identify and recruit eligible participants, obtain informed consent, collect longitudinal clinical data, and obtain
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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reproducibility of biological assays, nucleic acid sequencing and analysis. You will hold an undergraduate degree in biomedical sciences with a working knowledge of data analysis including statistical analysis
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analysing data. One of the key aims of the project is to improve understanding of how introducing new professional roles into primary care can improve patient care and outcomes. The successful applicant will
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IT Business Partner ( Job Number: 26000371) Computing and Information Services Grade 8: - £47,389 - £56,535 per annum Fixed Term - Full Time Contract Duration: 2 years Contracted Hours per Week: 35
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities