197 postdoc-in-system-identification Postdoctoral positions at University of Oxford in United Kingdom
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This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post will be fixed-term until 31 March 2027 (with potential to extend until
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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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experimental problems. Excellent organisational and communication skills as well as ability to work collaboratively are essential. This is a fixed-term appointment available for 2 years. If you are interested in
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“outside of the box” to solve experimental problems. Excellent organisational and communication skills as well as ability to work collaboratively are essential. This is a fixed-term appointment available
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About the role An exciting opportunity has arisen to join the Department of Oncology as a Postdoc within the Cancer Prevention Vaccine team, part of the GO-Precise alliance (PRECancer Intervention
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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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Postdoctoral Research Assistant in Impact and Shock Mechanics Grade 7: £38,764 to £46,913 per annum The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to
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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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(notably MCP, A2A). Note that the successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by