322 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" positions at University of London
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, matrixed environment. Demonstrated experience in leading cross-functional projects with multiple stakeholders. Strong commercial acumen and financial oversight capabilities. Resilient, solutions-focused, and
-
management across the end to end lifecycle: discovery, development, launch, and continuous improvement of online courses and learning products. Embed evidence based pedagogy and learning science into product
-
to providing an outstanding level of customer service. Exceptional attention to detail and excellent time management skills. Skilled in handling a busy workload, prioritising multiple deadlines, and
-
to develop a broad range of skills and experiences as a platform for career development, within a vibrant global health research group led by Professor Andrew Prendergast. The post is based in the Centre
-
clients. Ability to manage multiple internal and external stakeholders and to operate effectively with senior leaders. Experience of key account management and developing client relationships. Extensive
-
– a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing
-
-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
-
-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
-
presence in the Middle East with the opening of a new office in Riyadh, Saudi Arabia. This exciting development will enhance our engagement in Saudi Arabia and support the country's Vision 2030 objectives
-
treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We