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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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service, Disability Advisory Service, Peer Support Programme, Mental Health Awareness Training and Reported Student Service, all aimed at supporting the wellbeing of our students, and equipping colleagues
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computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research
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for collaborating sites and prepare trial specific instructions. You will also oversee data entry on the computer database (assisted by a Data Entry Clerk) and perform regular systematic checks of information held
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role within a dynamic and growing institution, offering a rare opportunity to shape and develop the College’s alumni relations and engagement programme from its foundation. The College seeks a proactive
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-cycle, supporting multiple Sprint teams, the Management group and Executive Board and being responsible for administrative and operational processes that underpin the success of the programme. The
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, computational modelling, and in vivo physiology—to dissect cholesterol‑mediated modulation of key receptors like Glucagon receptor and GLP‑1R, with direct relevance to metabolic disease therapeutics. The Siebold
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background in (computational) physics or another exact science at an academic level • A background in software engineering • Aptitude for understanding and analysing scientific concepts • Proeficiency in
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to enable the delivery of objectives. • Strong oral, written and electronic communication skills. • Ability to plan workload and deliver on projects. • Excellent computer skills, including Word and Excel
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students in the Arts and Humanities. The DTP aims to foster the next generation of leaders in the Arts and Humanities sector through an innovative and student-centred programme of training. An opportunity