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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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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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collaborators, you will conduct analyses of the Swiss HIV Cohort Study (SHCS) data to identify and characterise underserved populations who could benefit from PrEP. You will use intersectional approaches
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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