Sort by
Refine Your Search
-
to global health, gender violence and violence in childhood, and medical humanitarianism. We offer a vibrant and diverse research degree programme, with over 100 PhD and DrPH students from more than 40
-
through to post-programme review—delivering to time, budget, scope, and quality. Establish and maintain clear project governance, timelines, and resource planning, ensuring roles, deliverables, and
-
, including degree and executive education programme invoicing, credit collection, and student loan management. You will report to the Associate Director, Finance Shared Services, and support the wider Finance
-
have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
-
expert where required. Confidently lead the presentation of the learning solution architecture including the design rationale, impact and narrative. Is a core member of Client programme teams, and owns
-
guiding candidates through the admission process, positively influencing their views of our Programme and School. Arranging interviews for MBA applicants with Alumni in own region/s. Act as an ambassador
-
at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
-
focus on the host immune response in tuberculosis. The appointee will be expected to develop their own research projects within the context of this research programme and obtain independent funding
-
View All Vacancies Infrastructure Services Division Location: Camden (King's Cross, London) Salary: £39,969 to £50,760 Per Annum Including London Weighting Permanent / Full Time Closing Date: 23.59 hours BST on Thursday 19 June 2025 Interview Date: Tuesday 22 July 2025 Reference: ...
-
computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational