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). We’re offering an exciting opportunity for a Level A Research Assistant who will contribute to the University’s research efforts and develop their scientific expertise through focused and meaningful
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advice and in-depth analysis of complex health data. The role supports both independent and team-based research activities, including the development of manuscripts, conference presentations and funding
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% employer superannuation Operate and maintain cutting-edge flow cytometry instruments Train users and assist experimental design and analysis Manage daily lab operations, bookings and safety protocols
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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role in shaping a vibrant academic environment, using clinical expertise to strengthen curriculum development and create a rich, practical learning experience. The role builds strong connections with
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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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expert guidance, analysis, planning, and modelling to ensure the University remains agile, competitive and financially sustainable. Lead the annual delivery and development of the University’s central
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learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the
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program (or ability to foster research collaboration) is considered along with records of achievement. Those with joint Monash-Museums Victoria supervision will be highly regarded. To retain
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the headspace website. Possible approaches to addressing this challenge might include: Developing algorithms to identify patterns and preferences based on service users’ previous content engagement