147 component-labeling-agorithm-cuda Postdoctoral research jobs at University of Oxford
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to prevent and/or mitigate the impact of E. coli and Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large
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analyses to map the opportunities and threats of food system transitions for climate and societal resilience. The work is supported by the British Academy and is part of a multi-disciplinary research team
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mechanisms by which co-inhibitory receptors, including PD-1, BTLA, TIGIT, and CD200R, regulate T cell function in autoimmune settings. Despite sharing common downstream signalling components such as SHP1 and
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innovation in global health. You will work as part of the SchistoTrack team, a prospective cohort study that investigates predictive factors for schistosomiasis-associated morbidities across rural Ugandan
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who are able to start between 1st January 2026 and 1st June 2026. The successful candidate will be part of a research group with responsibility for carrying out research in Applied Mathematics and
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About the role We have an exciting opportunity to join the Wood Lab in the Department of Paediatrics as our Postdoctoral Researcher This role is part of a larger interdisciplinary program focused
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multiple aspects of work to meet deadlines. The candidate will take part in the academic life of BIPAC and the astrophysics group at the Physics Department, and in particular attending and taking part in
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developing a novel platform to uncover the hidden dynamics of proteins in health and disease. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of protein
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-antigen triggers of regulatory T cells in the context of Multiple Sclerosis (MS). This position is part of a large multidisciplinary collaboration between the University of Oxford, University of Cambridge
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transcription factors contain long disordered regions, but an incomplete understanding of their roles impedes transcription factor and therapeutics design. You will describe roles quantitatively by biophysically