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or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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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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