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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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public health network and collaborations including local and international organisations contribute to applications for competitive research grants or funding to deliver research impact supervise
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delivery and education provide informal mentorship to junior researchers and contribute to a collaborative and inclusive research culture actively participate in professional networks contributing
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or research institution. Benefits The Net Annual Income of the fund is to be used to provide one or more fellowships. Each fellowship is paid in two equal instalments: the first upon acceptance
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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environment. This includes work undertaken within our invaluable Terrestrial Ecological Research Network . To be successful, you will need: A PhD in marine/coastal ecology or a related discipline. To be
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knowledge within the discipline established network of academic, industry and professional stakeholders experience supervising and mentoring others developing knowledge of key strategic issues in the higher
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Advance Net Zero with sustainable feedstock solutions for low-carbon fuels Lead
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have
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. Ability to build networks with workers, unions, and industry representatives. Strong written and verbal communication and the ability to work effectively in a collaborative research team. You must have