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coupled particle-and-field stochastic processes following a path integral approach that combines Doi-Peliti and Martin-Siggia-Rose field theories. This method will be applied to model complex stochastic
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in these brains at various stages of development. The data will then need to be used to model mathematically the evolution of the gene regulatory network controlling forebrain patterning. The role
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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to their environment and how in turn their influence health and disease. The successful candidate will combine preclinical models and patient-derived samples to explore the metabolic regulation of macrophages in