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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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We have an exciting opportunity for a Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer to join the multidisciplinary GO-PRECISE colorectal precancer
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candidate will be part of a research group with responsibility for carrying out research in Modelling, Simulation, and Analysis of Interacting particle systems and related fields as part of the Royal Society
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We are seeking a full-time Postdoctoral Research Assistant to join the research group of Professor Jens Rittscher at the Department of Engineering Science, Institute of Biomedical Engineering, Headington. The post is funded by the BRC4 Imaging Theme and is fixed-term until 31 March 2026, with...
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of human musculoskeletal tissues and undertake computational analysis of multi-omic datasets of human musculoskeletal tissues. You will be adapting existing and developing new experimental protocols
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Reporting to the Project Co-Lead, Professor Beth Greenhough, the post holder will be responsible for carrying out research contributing the social science dimensions of the three-year MRC funded
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how