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ZEISS LLSM, ZEISS Elyra, ZEISS 980 confocal, PicoQuant FLIM, PicoQuant Luminosa, and bioimage analysis of fluorescence microscopy images. You must have the ability to manage your own academic research and
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correlating findings with analysis of patient material. You will take a lead role in conducting wet lab experimentation, applying state-of-the-art single-cell multiomic approaches, including transcriptomic
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establish routine cell surface proteome analysis using subcellular fractionation techniques, such as density gradient centrifugation and surface biotinylation followed by enrichment, to explore the surface
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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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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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analysis. The engineering targets identified using computational approaches by the successful applicant will be validated in crop plants by other members of the consortium. This is an exciting collaborative
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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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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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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