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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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to industrial partners and members of NBIC both in the form of formal written reports and oral presentation; (v) support NBIC training activities and the supervision of postgraduate researchers and visitors
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based