480 computer-programmer-"https:"-"https:"-"https:"-"https:"-"IMEC" positions at University of Oxford
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execute experiments and contribute conceptually to the overall research programme. The post-holder should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular/cell biology or genetics
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by the Michael J Fox Foundation and will investigate innate inflammatory pathways in Parkinson’s. It is a collaborative research programme between the University of Oxford and the University
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recognised research record, or clear potential to achieve this, demonstrated through impactful publications appropriate to your career stage; the ability to develop and lead an independent research programme
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Futures Scholarships, a programme that seeks to address under-representation and help improve equality, diversity and inclusion in our graduate student body. They will manage the selection processes for a
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internationally competitive programme of research, secure substantial external funding, and help shape the strategic direction of clinical medicine across the Department. You will play a central role in
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at the BioEscalator, Oxford’s biomedical start-up incubator. This varied and hands-on role will support the delivery of the BioEscalator’s programme of business-focused events and engagement activities, alongside
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the opportunity for hybrid working. About the Role The role sits within the Change Practice in Programme & Projects Delivery Group (PPDG) and will be assigned to HALO, Oxford’s Transformational Customer
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more. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other professional development programmes. This is an excellent
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will lead an internationally recognised programme of socio-legal research, applying social theory and empirical social science methods to the study of law and legal phenomena. You will secure significant
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven