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of pediatric brain tumours (Vinel et al BMC Biology 2025, Constantinou et al Cell Reports 2024 and Vinel et al. Nature Communications 2021) to develop new personalised therapies. About You We seek an ambitious
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well as qualitative approaches including semi-structured interviews with women, families, and clinicians. These interviews will inform the design process and deepen understanding of the everyday contexts and
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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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. 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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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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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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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory
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and taught postgraduate students and over 250 PhD students within our London operation, supported by an administrative and technical staff of around 50. About Queen Mary At Queen Mary University