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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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prepare the work for publication. You will have a PhD/DPhil in health modelling, or related subject such as health economics or public health. You will need strong data analysis skills (such as in STATA and
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of innate sensing and signalling in macrophages at the Kennedy Institute of Rheumatology. In this position you will report to the Principal Investigator, Professor Jelena Bezbradica Mirkovic. In this position
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-lab and supervised by Jasmina Kapetanovic, https://www.ndcn.ox.ac.uk/team/jasmina-kapetanovic a Principal Investigator and Group Lead at the University of Oxford and Consultant Vitreoretinal Surgeon
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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human tumour models including organ/tumour perfusion, slice culture and organoids to ensure data is clinically relevant and to inspire the next generation of effective treatments. The post would suit
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a
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to the Principal Investigator, you will help ensure a healthy and vibrant research environment within Natalia Ares’ and Dominic O’Brien research groups. You should possess a relevant PhD/DPhil (or be near completion
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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to model immune-mediated kidney injury. Quantitative and reproducible read-outs from these assays will be correlated with human kidney ‘omics data to evaluate the impact of pathway modulation, ultimately