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large volume of complex data. We seek an individual with specific skills and experience in the collection, processing and analysis of complex data to help support this trial. This post provides
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connections with the large community of statisticians across King's health faculties. This collaborative network provides excellent opportunities for professional development and knowledge sharing. This role
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for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data
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7 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom
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volumes of documentation. Excellent data analysis & IT skills, with the ability to assimilate large and complex sets of information quickly and with exacting standards of written and numerical accuracy
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in-person, hybrid and digital activities—spanning large-scale donor engagement and recognition events, awards dinners, cultivation events for high-net-worth individuals, public engagement lectures
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and operational role in the development and oversight of systems to archive and manage the large datasets generated by our Total Body PET scanners, so a keen interest and expertise in computing and data