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reporting techniques, to improve efficiency, effectiveness and access to information within the College. You would maintain appropriate systems/processes for the collection, maintenance, integrity and
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their unique perspectives to society, culture, public service and the economy in all areas of London, the UK and around the world. ABOUT THE POST We are looking for someone to join the Systems and Data team in
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About the role: The Data Analyst will be responsible for collecting, analysing, and visualising key operational data across the University to drive informed decision-making. This role will focus
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. Neurodegenerative research spans various scales, from molecular to population levels and it benefits immensely from the rapidly evolving innovations in informatics and data science and the growing collation of omics
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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and students, including front-line support services, infrastructure, applications, and project delivery. The Information Security Analyst is a critical role for supporting the development and delivery
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our Diversity Data Analyst. Based within People Services, as Diversity Data Analyst, you will report into the Head of EDI and have responsibility for data analysis and reporting to ensure we meet our
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School of Computing & Mathematical Sciences Location: Greenwich and Medway Campuses Salary: £68,529 to £81,790 Contract Type: Permanent Release Date: Friday 25 July 2025 Closing Date: Friday 08 August 2025 Interview Date: To be confirmed Reference: FES016-E We invite applications outlining...
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School of Computing & Mathematical Sciences Location: Greenwich and Medway Campuses Salary: £38,249 to £44,128 Contract Type: Permanent Release Date: Friday 25 July 2025 Closing Date: Friday 08 August 2025 Interview Date: To be confirmed Reference: FES015-E We invite applications outlining...
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Data Science to join our Department of Agriculture & Environment. This is a unique opportunity to influence the future of data science within the land-based and environmental sectors, through teaching