174 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "Inserm" positions at University of Oxford
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wide range of other staff discounts. For more details, please see https://hr.admin.ox.ac.uk/staff-benefits . We can offer reasonable interview expenses to assist with your attendance at the interview
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Home rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 3.5 years. Please note the eligibility criteria set out by the UKRI at: https
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addressed to Prof Maurice Fallon (mfallon@robots.ox.ac.uk). Further information can be found at: ● https://dynamic.robots.ox.ac.uk/ ● http://www.eng.ox.ac.uk/jobs Only applications received
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a PhD/DPhil, strong analytical and coding skills, and a passion for interdisciplinary collaboration. If you have experience in modelling, data science, or heritage science — and a drive to turn
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, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University
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this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement . The closing date for applications is 12.00 noon on Tuesday 6th January 2026. Only applications submitted by this time will
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organizational and collaborative skills, is essential. In this role, you will undertake a collaborative research project between the University of Oxford and Neumora (https://neumoratx.com), funded by the Michael
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networks are applied genomics, fluorescent microscopy and proteomics for cell profiling. The project is already ongoing, and you will need to use the code and tools that have already been developed by
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include a CV, Supporting Statement/Cover Letter. For further guidance and support, please visit https://www.jobs.ox.ac.uk/how-to-apply. Any technical questions related to this vacancy can be sent
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, in the Department of Biology and Ineos Oxford Institute, based in the new Life and Mind Building. More information on the research environments can be found at: https://sheppardlab.wordpress.com/ https