269 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL"-"St" positions at University of London
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students and supervisors, and other stakeholders. They will draft, review and update research degree policies, procedures, online content and communications; prepare committee papers, reports and briefings
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refreshes. As an IT Infrastructure PM you will take ownership for the delivery of multiple projects / deliverables of different scales in workstreams 1 and 4. You will have responsibility to scope, design
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, matrixed environment. Demonstrated experience in leading cross-functional projects with multiple stakeholders. Strong commercial acumen and financial oversight capabilities. Resilient, solutions-focused, and
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, regarded as a leader in an identified field with clearly identifiable impact on the development of the sector. The post-holder will need to have an extensive network of creative industries contacts, spanning
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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
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and funder requirements. Provide line management and support within a matrix organisational structure. Contribute to the development of future grant bids and strategic funding plans. Who We're Looking
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across multiple sites, as well as a virtual service to meet the needs of a wide range of organisations, from micro businesses to multi-national corporations. LBIC is owned and operated by the prestigious
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align with the departments’ and organisation’s strategic goals. The Business Systems Manager will collaborate with various departments and cross-functional teams to develop and manage strategies
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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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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