-
focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
-
computational techniques, and interpreting complex datasets. A key part of the role will involve preparing your research outputs for publication in peer‑reviewed journals and presenting findings within internal
-
: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals. Disseminate Findings
-
for fitting stochastic epidemic models to infectious disease outbreak data. The post will contribute to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models, as