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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
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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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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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. This PDRA position will focus on advancing the robotics and automation capabilities of the Mobile Robotic Process Chemist platform - a fully automated, modular system that integrates synthesis, work-up, and
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you will do · Lead the development and deployment of coupled computed laminography and diffraction methods on DIAD for pouch-cell geometries, including acquisition strategy development, geometry
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research projects, contributing to major funding applications, publishing high-impact research, and mentoring junior researchers. Applicants should hold a PhD/DPhil in cell biology, cancer biology, computer
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. The project will develop methods and approaches using novel polymerisation to produce 3D porous materials to enable 3D cell growth and bioengineered in vitro models. The successful candidate will join the
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of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene expression, proteomics, or metabolomics
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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environment at the University of Oxford. The programme integrates patient stratification using cerebrospinal fluid biomarkers, patient-derived induced pluripotent stem cell (iPSC) models, and pharmacological