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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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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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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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-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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” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in Computer Science
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range of gendered policy outputs to test whether more diverse parliaments produce more inclusive outcomes. You will have the opportunity to present and publish your findings at international conferences
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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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