89 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Oxford
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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, aerosols, and their interactions, utilising satellite-based remote sensing. Potential areas of emphasis include cloud tracking and the analysis of data from the innovative EarthCARE satellite mission in
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three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and high-profile publications. In this role you will lead on the delivery of the assigned CoRE research
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also have experience of structural biology methods, in particular cryogenic electron microscopy and data processing. Enthusiasm for working in a laboratory environment, a pro-active determination to
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to Philip.torr@eng.ox.ac.uk For more information about working
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Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply. The post is full time for a fixed term until 31st December
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Applications are invited for a Postdoctoral Research Assistant position in supernova cosmology and time-domain astrophysics, working with data from Rubin Observatory, 4MOST, Euclid, and low-redshift
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. Our group develops, validates and applies novel MRI techniques for basic and clinical neuroscience. This post will focus primarily on ex-vivo and in-vivo peripheral nerve imaging data, for ongoing
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transcytosis and tropism in both healthy and disease contexts. The work will generate human-relevant data on BBB permeability, receptor expression and transcriptomic signatures that will directly inform AI