Sort by
Refine Your Search
-
to become part of our extraordinary legacy. This is a fantastic opportunity for Programme Manager with CRM experience to manage an exciting and far-reaching programme. This role will help drive forward
-
. Manage programme budgets and support fundraising initiatives through data and reporting. You will have substantial experience managing programmes or projects within complex organisations, handling multiple
-
to the CTL (re)designing summative assessment consultancy service (link) and have experience of working with course/programme teams to support them in developing new programmes and/or introducing major changes
-
for administering the second year of the University’s Clinical Medicine programme, which is Year 5 of the standard 6-year Medicine programme and Year 3 of the 4-year Graduate-entry Medicine programme
-
University strategy. About You Demonstrated success in managing multiple concurrent projects and initiatives, with combined budgets around £1m/year, ideally within a wider programme context. A track record of
-
of conferences, meetings and events, operating world-class and unique venues across multiple locations. With dedicated lecture theatres, seminar rooms and classrooms, our facilities cater to a wide range of
-
Programme Manager (Digital Communications) Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine
-
(HASC) – a major national programme advancing future telecommunications. Working closely with the Programme Manager, you will coordinate key project activities, support reporting processes, assist with
-
University-led flagship initiative that is driving innovation-led growth across Oxfordshire. The postholder will lead the planning and delivery of a strategic programme of high-profile events that elevate the
-
management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now