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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in
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, and program governance. Manage, coordinate and track AI-related activities across the University, applying approved project management methodologies and systems. Identify opportunities and AI use cases
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, and NHMRC compliance. These positions will be responsible for tracking milestones, managing documentation, coordinating stakeholder engagement, and supporting Indigenous research methodologies
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with AI tools could give us unparalleled power to infer, understand and predict human actions and reactions. To build such tools, we would need to collect data in ways which could invade people’s privacy
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autonomy, cultural awareness, and expertise in international education markets. If you are passionate about global engagement and have a strong track record in international recruitment, we’d love to hear
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Contracts Team’s inbox and Research Master submissions, triaging requests, identifying priorities, and tracking actions for timely follow-up. Allocate incoming tasks to team members based on subject matter
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mineral systems and geochemistry. Proven experience in managing, analysing, and interpreting large scientific datasets. A strong publication track record and evidence of successful collaborative research
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approaches, including understanding of IT risk and control environments (risk and control identification, assessment, tracking and remediation) with proven experience with operational and compliance risks in a
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across all areas of business. Proven ability to work flexibly and collaboratively within small, multi-disciplinary teams in dynamic environments. Strong commercial acumen with a track record of delivering
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documentation (PID) as required, including timelines, implementation and evaluation methods and communication strategies. Coordinate the implementation of project plans and initiatives. Track and monitor