93 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ENS-PARIS-SACLAY" positions at Imperial College London
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(individually or cumulatively). As a Julia Anderson Health Data Science Trainee, you will support analytical projects within the Centre for Health Policy. You will work with real-world healthcare data and NHS
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Are you an experienced clinical trials professional ready to make a national impact? Join the TRANSFORM study as a Data Manager and play a central role in delivering the UK’s largest prostate cancer
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number of internships (paid or unpaid) for two months or more (individually or cumulatively). As a Julia Anderson Health Data Science Trainee, you will support analytical projects within the Centre
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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may be required. For more information about the Pears Cumbria School of Medicine, please visit https://cumbriamed.ac.uk If you require any further details on the role please contact: Dr Lesa Kearney
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Are you interested in shaping the future of global water modelling using AI? The Research Associate in AI-Enabled Hydrological Modelling and Data Assimilation will develop innovative methods
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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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the full academic lifecycle, ensuring data quality and resolving inconsistencies. You’ll provide expert operational support to departments, advising on complex student lifecycle processes—from registration
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the full academic lifecycle, ensuring data quality and resolving inconsistencies. You’ll provide expert operational support to departments, advising on complex student lifecycle processes—from registration
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neurodegenerative disorders. The role centres on enabling high-quality, reproducible analysis across prescription data, longitudinal clinical records, wearable time-series data, and multi-omics datasets, with