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Research (OCMR, University of Oxford) and Oxford University Hospitals Department of Radiology (ORRU), focused on the development and delivery of funded clinical hyperpolarised imaging studies. You will
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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contributing to publications. Experience in high content imaging, immunohistochemistry, W-blot, PCR, bulk and/or single cell RNAseq and in generating and analysing ‘omics data would be desirable. Diversity
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. The research requires experience in high vacuum systems, laser, molecular beams and laser desorption sources, charged particle beams and optics, velocity-map imaging detection, and the associated data processing
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at conferences, and represent the research group at meetings. You will be able to work in an effective, positive and respectful manner with other group members (DPhil students; postdocs) and collaborators. In
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postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide an exceptional launchpad
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career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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cardiovascular disease. You will have proven experience in endothelial tissue cell culture, molecular biology techniques including cloning, confocal imaging and biochemical assays (SDS-PAGE and Western blotting