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, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You will be able to demonstrate how to organise and prioritise work
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research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members of the group at Oxford and
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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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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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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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems
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The post-holder will join a team of investigators working on the NERC-funded Large Grant ‘Ex-X’ Expecting the Unexpected. Understanding ‘dangerous’ volcanic transitions’, led by Prof. Jenni Barclay
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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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a social science discipline (or a relevant data science field), have interest and research in the field of economic and experience in data management and analysis. You have demonstrable experience
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and