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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
We are seeking a full-time Postdoctoral Research Assistant to join the Circular Economy and Sustainability Lab at the Department of Engineering Science (central Oxford). The post is funded by
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, funded by the Medical Research Council and is due to start no earlier than January 2026. If successful, you will use experimental approaches to contribute to a project that is investigating aspects
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, you will use experimental approaches to contribute to a project that is investigating aspects of synaptic inhibition and plasticity in the mammalian cortex. The research will employ studies in rodents
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existing machine learning methods, as well as building robust, well-documented, and reproducible analytics pipelines for long-term use by the wider team. You will carry out data analysis and manage
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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is for a researcher interested in applying cell biology, biochemistry and virology techniques to elucidate the ER is remodelled during flavivirus infection to form morphogenesis hubs. You will manage
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an available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, epidemiology, engineering, statistics and applied mathematics with experience and
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant