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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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equivalent to PhD level in the relevant subject area for the research programme. They will be educated to degree level in a relevant field and have qualifications in participatory research methods, alongside
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer
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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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a Research Fellow to contribute to a research programme examining how digital environments influence adolescent health. The postholder will lead the analysis of the UK Household Longitudinal Study
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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About the Role Join the Green-Loop project, a £1.3M UKRI-EPSRC and DEFRA-funded programme addressing solar panel waste. By 2030, the UK will generate approximately 1 million tons of decommissioned
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part of an interdisciplinary team, engaging effectively with colleagues across technical and social-scientific domains. They will be organised, methodical and able to communicate complex computational
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modelling, turbulence modelling, and computational fluid dynamics. Experience in chemical kinetics modelling, multiscale simulation methods, and scientific programming is essential. Experience with plasma
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About the role This role supports a multidisciplinary programme investigating the role of the Maresins, a family of pro-resolving lipid mediators, in early cancer development. You will process