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member of the ‘Blackholistic’ team (Oxford-Amsterdam-Radboud) which includes relativistic simulations on all scales from black hole to large scale jets, as well as analysis of data from the Event Horizon
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We are seeking an exceptional and highly motivated Senior Research Scientist/ Data Analyst with a passion for tumour immunology and strong expertise in large-scale transcriptomic data analysis
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experience handling large quantities of clinical or non-clinical real-world data, preferably in a data manager role Experience applying statistical and data science techniques to address real-world clinical
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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collaboration with colleagues in the John Radcliffe Hospital and the Oxford Big Data Institute, with the central aim being the development of rapid diagnostics of antimicrobial resistance in clinical samples. You
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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the John Radcliffe Hospital and the Oxford Big Data Institute, with the central aim being the development of rapid diagnostics of antimicrobial resistance in clinical samples. You will work as a member of an
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processing, integration and visualisation Proven experience developing and using necessary pipelines for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling
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data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
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18 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Language sciences Literature Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country