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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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experience with QMRA frameworks and health-based targets, familiarity with metals, DBPs and opportunistic pathogens or experience with network modelling tools (e.g. EPANET), familiarity with water distribution
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
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