123 data "https:" "https:" "https:" "https:" "Stanford University" positions at Imperial College London
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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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personal and professional wellbeing . This is a full-time post (35 hours), The job requires availability for occasional work outside Monday to Friday 9-5pm. For further information on the post, please
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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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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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Imperial College London | Belfast International Airport, Northern Ireland | United Kingdom | 9 days 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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, 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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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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– 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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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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, fellows, and researchers to guarantee the smooth operational delivery of the study. Drive the science: Beyond administration, you will oversee data collection and management systems, contributing