288 algorithm-development-"The-University-of-Edinburgh" positions at University of London
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, the Entrepreneurship Hub has developed entrepreneurial skills in students while supporting local and global communities. The Hub offers programmes, funding, and networking opportunities designed to foster a vibrant
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. This pivotal role will oversee the development, integration, and support of a comprehensive suite of enterprise applications that underpin strategic projects and essential services across the University at a
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, teaching and assessment. The postholder will play a key role in supporting digital learning innovation, developing online resources, and maintaining core systems that underpin our teaching and student
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working closely with the Head of Philanthropy, the Director of Development & Alumni Relations, and your team members to ensure the future success of our Development and Alumni Relations Office (DARO) team
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Department is in the process of further developing the University’s historic estate to provide a 21st century campus and user experience that meets the increasingly contemporary needs of the people studying
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for an experienced RVN keen to develop their leadership skills and specialise as a member of a successful Transfusion Medicine Service (TMS) in the Queen Mother Hospital for Animals. Our TMS is one of the busiest in
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collection and analysis of quantitative and qualitative data. They will be expected to prepare scientific publications and non-academic reports. The post-holder will work alongside a nation-wide multi
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provide comprehensive pre-award budget development support to LSHTM’s three academic faculties. The post will work within a small team responsible for supporting coordination, budget development and
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forecasts. Innovate financial models and processes to enhance working methods. Manage and report on project expenditures, including OPEX and CAPEX. Provide analytical support for new developments and
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About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System