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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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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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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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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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experience, and an enthusiastic interest in the research projects selected. Please see the ‘Job Description’ for the full list of selection criteria. This is a full-time post offered for a fixed-term of three
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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loans • Membership to a variety of social and sports clubs The post is available on a flexible hybrid basis. The minimum on-site time is 2 days/week About the Role The post is funded
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, Statistical Machine Learning, deep generative modelling, or similar subject with post-qualification research experience and the ability to develop research projects. You will have a strong publication record in
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated