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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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Engineering in Headington. The posts are fixed-term for 12 months in the first instance, funded by the NIHR, EPSRC, and the Gates Foundation. The postholders will work on projects with international
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• Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs The posts are available on a flexible hybrid basis. The minimum on-site time would be 2
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molecular techniques such as CRISPR/Cas9 editing, retroviral transduction, or transcriptomics Further Information This is a full-time post based at the WIMM, University of Oxford and fixed-term for 1 year in
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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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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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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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characteristics directly. The main responsibilities of the post holder are to develop and edit molecular simulations of different biologically relevant membrane chemistries, for example membranes with different
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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