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Schwann cells, myelination assays, or co-culture systems, and familiarity with advanced imaging or quantitative image analysis will be desirable for the role. About the School/Department/Institute/Project
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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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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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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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, experience of health-related social science research, qualitative data collection and analysis. Experience of using deliberative methods and of working with multiple stakeholders is desirable but not essential
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fabrication, testing, and characterisation of polymers or composites, and a willingness to develop new techniques where needed. Experience with thermal analysis (DSC, DMTA), mechanical and fracture testing, and
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to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders
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data and willingness to develop skills in statistical or multivariate analysis are essential. The postholder will work collaboratively with Prof Jesmond Dalli, Prof Ghassan Alusi, Dr Adrian Biddle and
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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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and database synovial tissue and biospecimens. Perform histology/immunostaining (IHC/IF), RNA/DNA extraction, and gene expression profiling. Support QA audits, data analysis, and reporting. Maintain