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other RAs, the PDRA will lead the collection, management and analysis of large physiological, fMRI and behavioural data sets, using appropriate tools (R, Matlab, FSL, SPM) and advanced statistical
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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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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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, 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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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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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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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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-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
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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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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