Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
About the Role We are seeking an experienced senior project/data manager or database developer with leadership experience to lead our team of clinical trials data management and database development
-
are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep
-
-respected training programme with an existing BABCP CBT pathway and systemic pathway. The post-holders will join an innovative and supportive team of over 20 academic staff with a range of expertise across
-
curricula and industry-engagement at our advanced production Futures Studio. They will also have the opportunity to work with the ground-breaking CoSTAR National R&D Lab, a £51.1m programme for converged
-
Programme on Gender, Growth and Labour Markets in Low-Income Countries (G²LM|LIC ). The post is for 10 months, from 1 September 2025 to 30 June 2026. The successful candidate will possess as many as possible
-
-holder will be a member of the department administration team and be accountable to the ANH Platform Programme and Grants Funding Manager and the Principal Investigator. The post-holder will also be
-
collaborations with external industry meet our ambitious goals for EDI across the sector. They will contribute to a range of Access Programme activities at the National Lab and Challenge Projects in the CDT
-
this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
-
the MRes programmes, as required. In addition, the postholder will contribute to the 1st year tutorial programme, an undergraduate fieldtrip and undergraduate dissertation supervision, as required
-
About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with