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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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-cell multiomics and spatial transcriptomics data from patient samples and patient-derived organoids (Ogden et al., Cell Genomics 2025, Efremova et al. Nature; Efremova et al., Cell Reports) and develop
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identities. Your focus will be on the sixteenth to eighteenth century section of the specification, with key topics being the Pilgrimage of Grace, the English Civil War, and the American Revolution. You should
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leukaemia development, progression and therapy resistance with a strong focus on the role of metabolism (Dembitz, Leukemia 2024;Woodley, Nature Communication 2023&Gallipoli, Blood 2018). The successful
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. Fluent English is required along with some proficiency in German and/or French. The postholder will join an internationally oriented team of scholars and cultural sector partners mobilising archival
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offers international excellence in research and teaching, and supports clinical service for a population of unrivalled ethnic diversity in East London and the wider Thames Gateway. At the forefront
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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required. Given the collaborative nature of this project, a willingness to travel and engage with industrial partners is advantageous. About the School/Department/Institute/Project Based at the School
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the Euclid satellite, we investigate fundamental questions about the nature of celestial objects, the evolution of galaxies, and the structure of the Universe itself. We are also actively involved in
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About the Role The post is based in the Trauma Sciences Research team within the Centre for Neuroscience, Surgery and Trauma. The Trauma Sciences research team (www.c4ts.qmul.ac.uk) provides