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of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling
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role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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the time, for example when processing data or preparing manuscripts and presentations. About You To be successful in this role, we are looking for candidates to have the following skills and experience
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biology Extensive knowledge of RNA biology, neurodevelopmental biology and brain disorders Experience with generation of RNA-Seq (bulk and single cell), CLIP-Seq and Ribo-Seq data Experience with mentoring
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the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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according to published clinical standards, and evaluate/ interpret data outputs. The main analytes will be elexacaftor, ivacaftor and tezacaftor (“Kaftrio”) alongside their stable-isotope internal standards
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, and what intervention has the prospect of get them to a better position. A model is needed into which to feed critical information and retrieve cause/effect insights on which to base logical decisions
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document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and