113 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" "Univ" positions at Imperial College London
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Practical experience of scanning electron microscopy including electron back scatter data processing and analysis (E) Highly confident and articulate with outstanding communication and persuasive skills both
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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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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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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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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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. 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
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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