228 algorithm-development-"Multiple"-"Simons-Foundation" uni jobs at University of London
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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
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, building and managing partnerships and developing relationships with creative industries stakeholders for Creative industries R&D and the wider CoSTAR Network. You will work closely with CoSTAR teams
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fixed-term basis. Reporting to the Head of Marketing, Degree Education (DE), you will own the planning, development and reporting of priority marketing campaigns targeting prospective DE students, while
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innovation. The Inclusion Executive Producer will develop strategy and ensure delivery of best practice in EDI for the National Lab’s internal R&D programmes, culture and work as well as acting as ensuring our
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insights. The position involves data cleaning, analysis, and development of reports, with the chance to build skills in data science tools like Excel, R, Python, and AI-driven epidemiology methods. With
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activities, including updating course webpages, producing performance reports, managing social media content and scheduling, and supporting campaign delivery across multiple channels. You’ll also liaise with
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Responsibilities Ownership of the delivery of a portfolio of events, or elements of more complex events. Partner with Events Executive and Assistant on projects, overseeing their work and coaching them to develop
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understand. You will have a proven ability to manage a complex workload and deliver on multiple projects in parallel. About the School/Department/Institute/Project The Academic Centre for Healthy Ageing (ACHA
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complex, fast-moving environment. The successful candidate will bring not just technical expertise but also the resilience and stakeholder management skills needed to thrive amid multiple priorities, tight
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education strategy across seven departments and multiple LSHTM-based centres, with a focus on building and strengthening skills in artificial intelligence and machine learning for epidemiological research