Postdoctoral Fellow - AI-Enabled Immune Digital Twin & Organ Damage Mechanistic Model

Develop interpretable mechanistic model components that link immune-state dynamics to organ-damage risk in the lung, kidney and liver during critical illness, under the direction of James A. Glazier. About 60% of the role builds fast ODE, network and mechanistic modules, maps clinical time series and biomarkers to model states and defines biological plausibility and scoring criteria for digital twin ensembles; about 40% covers consortium deliverables (test cases, model packages, model cards), papers and presentations with national partners in systems biology and clinical data science.

Salary: 70,000 (Postdoctoral Fellow).

PhD or equivalent terminal degree in a quantitative, computational or biomedical discipline. Programming proficiency in Python, Julia, R or MATLAB; background in mechanistic modelling (ODE or dynamical systems, quantitative systems pharmacology or agent-based models); familiarity with inflammation, cytokine signalling, sepsis or critical-care biology. Applications include a CV, letter of application and list of references.