119 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Imperial College London in United Kingdom
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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
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, complete overnight administrative tasks, and compile and distribute operational data as needed to support daytime teams. Working closely with colleagues across the Property Division, you will provide
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We’re seeking a talented and motivated postdoctoral researcher with experience in cancer or chronic disease epidemiology and strong data analysis skills to join Professor Marc Gunter’s team
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the successful delivery of this important national study. Your work will focus on participant recruitment, obtaining informed consent, data collection and management, and facilitating referrals to secondary care
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stakeholders is clear and timely. You will analyse service data, monitor performance and identify opportunities to improve efficiency and customer experience. Working closely with colleagues across maintenance
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gas challenges. You will particularly gain skills in the principles and practice of running mechanistic clinical studies from practical aspects through to handling data. In addition to supporting
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original