19 data-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" Postdoctoral positions at University of London
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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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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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: generating evidence to support policy. It is a collaborative project led by QMUL and the Policy, Information and Communication Directorate at Cancer Research UK (CRUK). The work will focus on exploring
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auditing, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will
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About the Role The principal duty of the post will be to undertake high-level lab-based work, developing the research program as outlined. The role includes data analysis and achieving a steady
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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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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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of this knowledge. You can also find further information on our website.
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. These languages notably power WhatsApp's servers, Uber's software infrastructure, and the NHS information backbone. Two key advantages of message-passing concurrency are that it is higher-level and avoids data-race