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capable of learning online from new data. Both low- and high-frequency data analysis will be considered. About You The successful postholder will have or is soon to complete a PhD degree in Statistics
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the Faculty of Science and Engineering. While it is built around the core disciplines of Physics, Astronomy, and Chemistry, it also incorporates data science, reflecting a growing emphasis on computational and
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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involves working with a range of stakeholders to develop communication strategies, conduct qualitative and mixed methods research, generate data, analyse findings, and deliver public engagement. The post
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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conducting long-term participant observation, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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for Probability, Statistics & Data Science, the Centre for Dynamical Systems, Statistical Physics and Complex Systems, and the Centre for Mathematical Education. About Queen Mary At Queen Mary University of London
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of this knowledge. You can also find further information on our website.
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen