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of an extension, subject to funding. You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge
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. Experience with iPSC-derived neuronal models, in vivo experimental systems, and data analysis techniques would be advantageous. How to apply The University of Oxford is committed to equal opportunity, and to
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positions. Please see the below 'Job 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
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required to upload your curriculum vitae and a supporting statement, setting out how you meet the selection criteria for the post, using examples of your skills and experience. Click here for information and
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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. Additional Information Closing date for all applications: 23 August 2026 at 11:59pm Interviews are scheduled to take place during the week commencing 7 September 2026. For more information please refer to
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to an inclusive research environment. Additional Information Find more info on our career site Closing date for all applications: 23 August 2026 at 11:59pm Interviews are scheduled to take place on week commencing
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of physical and chemical characterisation/testing of products. Data collection, interpretation and professional report writing skills are required. For an informal discussion about the post please contact Prof
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. The role is designed to strengthen research capacity in empirical, data-driven analysis with a particular focus on generating robust evidence that challenges prevailing assumptions and dominant narratives
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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we