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executive support to the Centre Director. Flexibility, excellent communication skills, and a collaborative approach are essential. The University of Manchester values a diverse workforce and welcomes
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transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
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This is an exceptional opportunity to join the University of Manchester at a time of exciting opportunity and growth in online portfolio development. The University is developing a new strategic
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period 3 - 4 years Continuation of award Continuation of the award is subject to satisfactory progress. Number available Varies by funding Funding provider The University of Manchester Faculty
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is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalised web experience. Because we respect your right
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CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental
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jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and
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opportunities that have the potential to generate significant beneficial economic, social, and environmental impact where there is Intellectual Property owned by the University. A key element of the Innovation
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by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and