102 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" positions at Imperial College London
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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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, 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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, 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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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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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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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
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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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, 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