112 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Imperial College London in United Kingdom
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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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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Imperial College London | Belfast International Airport, Northern Ireland | United Kingdom | 1 day ago
projects in parallel Data analysis and reporting for senior audiences Flexibility and adaptability in fast-paced environments Ability to work effectively across matrix organisations and diverse teams
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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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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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, 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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in analysis of physiological data, MRI imaging and statistical analysis of crossover design studies and epidemiological datasets. Manage own research and administrative activities. Publish research
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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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