109 data-"https:"-"https:"-"https:"-"https:"-"University-of-St" positions at Imperial College London
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delivery of MSI workflows - including sample preparation, instrument operation, data acquisition, and analysis - identifying areas where innovation is needed and driving method development to address
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opportunity to support high‑profile translational and data‑driven research programmes, including the My Heart Counts BHF Programme Grant, the Imperial PH Biobank, and multi‑institution collaborations with
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, associated data acquisition and software engineering. The postholder will ensure that all work is carried out in compliance with relevant standards and safety protocols. You will design and fabricate
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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 development and execution of a data-informed, insight-led event strategy aligned with student recruitment and brand visibility goals. • Oversee the delivery of a dynamic events programme including
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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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anatomy of musculoskeletal systems; plan and conduct muscle physiological characterisation; analyse the data within an existing theoretical framework to determine whether gearing is optimal. You will also
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of data and systems Driving continuous improvement and service redesign informed by data and stakeholder insight Building strong relationships with senior academics, Faculty teams and Imperial central
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to the broader Innovation and Knowledge Centre mission to help bridge the gaps between academic research and industrial impact in this field. A strong background in machine learning, computer engineering, applied
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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