Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
governance activities for LSHTM’s clinical trials. Lead on the strategic development and deployment of robust electronic research data collection solutions, including oversight of application programming. Lead
-
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
-
-holder will lead a strategy for epidemiology research supporting outbreak response for UK-PHRST, manage new and innovative research projects and provide research expertise across the programme. They will
-
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
-
, the successful post holder will have the ability to follow procedure and process, and plan, manage and prioritise workload when under pressure to meet deadlines. We offer a generous reward package and benefits
-
, 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
-
Science, and a particular interest in programming. You will be experienced in using and teaching Python, Javascript, HTML, and CSS in a way that encourages and inspires students to embrace computer programming
-
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
-
education landscape, corporate training market, and government initiatives (e.g., Vision 2030, HRDF, PIF programs). Proven ability to drive revenue growth, secure high-value partnerships, and lead market
-
responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal