69 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" uni jobs at Imperial College London
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technical contractors or vendors in a project support or coordination role Experience of presenting statistical information in a variety of electronic formats as well as in person Hands-on experience
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transition. You will work closely with faculty, departmental teams and central professional services colleagues to coordinate processes, manage information, and support a range of operational tasks. Your work
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spans multiple years and involves close coordination between academic units, professional services, digital systems and external requirements. REF 2029 will require the integration of diverse data sources
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orders and departmental correspondence. Managing information flows, maintaining files and records, and ensuring efficient use of tools such as SharePoint and OneDrive. Liaising with students, researchers
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, you will handle sensitive information in line with data protection legislation and Imperial policies, while delivering a courteous, flexible, and customer-focused service in line with Imperial’s Values
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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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, email: g.frost@imperial.ac.uk or Dr Jia Li, email: jia.li@imperial.ac.uk . For further information on the recruitment process please contact Senior appointments Manager, Maria Monteiro, email: m.monteiro
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technical contractors or vendors in a project support or coordination role Experience of presenting statistical information in a variety of electronic formats as well as in person Hands-on experience
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is
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chemical biology and medicinal chemistry, drug discovery, data-rich discovery science, and AI/ML-enabled therapeutic research. The successful candidate will develop and lead an internationally competitive