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Associate (Level A) to join a new research initiative focused on next generation digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor
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digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development
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to support operational and compliance requirements. About you experience in operational, administrative or project support roles, preferably within a complex organisation experience collecting, analysing and
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-processed foods, managing and analyzing large, complex datasets to generate robust, policy relevant insights that advance the University's research agenda. In this role, you will work closely with Professor
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engineering judgement ability to quickly understand complex systems with minimal supervision strong documentation and communication skills commitment to safe laboratory practices and engineering procedures
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, prevention, and education in chronic disease and healthy ageing. Demonstrate a commitment to interdisciplinary approaches that improve outcomes for people living with complex chronic conditions, particularly
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policy engagement. Working across the research-policy-practice interface, you will collaborate with government, health services and academic partners to address complex health system challenges and drive