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all stages of MRI research, with a focus on developing and applying analytical methodology to extract meaningful information from complex MRI datasets and training others in this. The University
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clinical practice globally. You will develop/expand your skill base in data acquisition, management and security and have the potential to conduct studies related to key clinical outcomes of interest. Key
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applications from all sections of the community. This role will be based within the Research Development and Innovation team in the Faculty of Science and Engineering. The team consists of the Faculty’s
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improvement and adaptability in response to developments within research and higher education Benefits Generous annual leave entitlement (23–27 days based on length of continuous service), plus bank holidays
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visualisation suite, analysing data for in situ and time lapse data using a range of 3D image analysis software. You will identify areas for improvement and leverage your expertise to develop innovative hardware
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will focus on the investigation of the applications of molecular and ionic transport through capillaries made from 2D materials and heterostructures which will lead to technological development of 2D
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building and maintaining strong relationships across academia, government, and industry. A key part of the role involves developing and implementing communication strategies, including oversight of the NSEC
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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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, continuous challenge by exposome factors can promote development of chronic inflammatory diseases (CIDs) within this tissue, as well as systemically. Thus, defining the cellular networks that underpin