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analyses, including tasks and analysis using AI language models (LLMs). The postdoctoral researcher will co-lead the ethical application process for clinical fMRI and online behavioural studies and supervise
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the sensitivity of tumour cells to radiotherapy, with the ultimate goal of improving cure rates while minimizing side effects. A key component of our work involves translating laboratory discoveries into clinical
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consortium, the research involves elements of design, novel process and equipment development, modelling, manufacture, characterisation and data science. All applications must be made online using the Oxford
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with scientific oversight from Oxford Principal Investigators and GSK scientists
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Postdoctoral Researcher Data Scientist. You will play an important role in the contribution of statistical analysis and new models of analysis of complex data sets. You will be responsible for providing analysis
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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is fixed term for up to 36 months with a start date on or before 1st October 2025. This post will involve developing analysis and control methods for systems described by PDEs, with applications in
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supported-lipid bilayers and performing Total Internal Reflection Fluorescence (TIRF) microscopy, together with advanced skills in quantitative image analysis. You will have experience isolating T lymphocytes
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, image analysis and tissue biology. Experience in the tumour microenvironment and immune oncology is essential. You will have an excellent publication track record and have the ability to manage your own