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, in‑forest sensor networks, machine learning and AI to generate advanced digital forest data and operational insights for the Australian forestry sector. You will co‑lead a multidisciplinary research
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intersection of disasters and vulnerable populations, with outcomes that shape policy, practice and community resilience. What you’ll be doing Supporting the delivery of funded research projects from data
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only
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lifecycle activities, including governance, data reporting, publications and quality assurance, all while ensuring compliance with university standards. With a focus on curriculum data management, you will
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). You will closely collaborate with key faculty stakeholders and deliver actionable and impactful insights utilising analytics, statistical methods, data visualisation techniques, and AI tools to support
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if needed. What you’ll be doing Steward a shared measurement, evaluation and learning system Co-design meaningful indicators and frameworks Enable partner-owned data and learning Embed lived experience and
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relationships whilst exercising discretion and confidentiality. Demonstrated computer literacy and the ability to use health information systems. Commitment to ongoing education including actively seeking
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professional rapport and credibility. Effective leadership, interpersonal and communication skills, excellent ability to communicate complex information – both verbal and written. Experience in interacting with
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about you and upload your CV. Further information Additional information is available in the position description or by contacting: Recruitment specific enquiries: Rebecca Dwyer | Talent Acquisition