350 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This post will focus primarily on ex-vivo and in-vivo peripheral nerve imaging data, for ongoing
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transcytosis and tropism in both healthy and disease contexts. The work will generate human-relevant data on BBB permeability, receptor expression and transcriptomic signatures that will directly inform AI
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innovation, impact, and commercialisation pathways under the CREWW framework. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex
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the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
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of finding new ways to treat cancer more effectively. Using the data from the lung TRACERx consortium (Jamal-Hanjani et al NEJM 2017; Frankell et al Nature 2023) we have recently experimentally dissected how
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, including overseeing the research database and preparing reports. You will undertake prediction modelling and/ epidemiological research using population datasets including statistical analyses of the data
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, medicine, physics, engineering etc. are welcome but you will exercise your creativity and boldness through, establishing new experimental paradigms and obtaining new experimental data. You have to be a team
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Close collaboration between Chemistry and Microbiology Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part
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digital research information infrastructures in the practices of research evaluation and their governance. The project the Research Associate will work for pursues the following core research question: How
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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non