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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed
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“TALKING EMPIRE” project: This project examines the enduring legacies of empire in British politics (1960-2025) through a rhetorical analysis of prime ministers’ uses of the imperial past in public speeches
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-scale data analysis, and systems modelling. The post holder will play an integral role in experimental design, sequencing, data interpretation, manuscript preparation, project coordination, and the
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of autoimmunity Perform detailed T-cell phenotyping and functional assays Conduct mechanistic studies using molecular and cellular immunology techniques Contribute to data analysis, presentation, and publication
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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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, data generation and analysis, and scientific communication. We welcome applicants with a background in any of the following areas: Cancer immunology or vaccine development; Single cell genomics
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collaboration with statistical physicists for data analysis and experimental design. The Associate is expected to generate breakthrough ideas in the assigned area of research, as well as to carry out research in
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level of analytical and problem-solving capability Ability to communicate complex information with clarity and to encourage the commitment of others Experience of research with clear transferable skills
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging