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Post-Doctoral Data Science Research Fellow Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM), Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE Grade 8: £48,235 - £55,636 per
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We are looking to recruit two enthusiastic and motivated Postdoctoral Research Assistants to join the group of Professor Ervin Fodor in the Sir William Dunn School of Pathology at the University of Oxford. The aim of the project is to gain in-depth molecular insights into how influenza viruses...
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 1.5 years with a
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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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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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), as well as the Micron imaging facility. This full-time fixed-term post is funded by the Wellcome Trust for up to 3 years in the first instance. The actual starting salary offered will be based
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in a highly experimental laboratory is what we value in our colleagues. This is a 1-year fixed-term post in the first instance, with possibility of renewal. You will be working as part of a team to
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid