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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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, and metabolomics, using advanced statistical and computational methods Familiarity with genome-scale metabolic models (GEMs) and familiarity with flux balance analysis or other metabolic flux modeling
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in interdisciplinary and international teams. Track record of doing research in diverse international settings. Proficiency in analytical and statistical software. Excellent networking and partnership
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saliva, serum, dried blood spots, and fingerprints; apply these methods to clinical samples derived from King’s biobanks and collaborators; Perform statistical analyses to identify biomarkers of clinical
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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ties with other departmental groups, including Analysis, Disordered Systems, Statistics, and Mathematical Data Science, and its members are well connected to leading international institutions
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, with a focus on child and adolescent mental health. The successful candidate will primarily lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate
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, including Analysis, Disordered Systems, Statistics, and Mathematical Data Science, and its members are well connected to leading international institutions. The group’s research covers a broad spectrum of
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-dimensional data such as structural and/or functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with