354 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at The University of Queensland in Australia
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. Administrative and Data Management Manage diverse administrative tasks for the team, including data entry, database maintenance, and resource management. You will utilise university systems to analyse student
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for this appointment. Questions? For more information about this opportunity, please contact Michael Gower, Supervisor Grounds at m.gower1@uq.edu.au For application inquiries, please reach out to the Talent Acquisition
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development, with a focus on embedding emerging educational technologies and digital tools that support AI literacy, data-informed learning or critical thinking into learning experiences. Demonstrated
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Academics appointed previously will only be re-appointed if prior performance has been exemplary. Please read the duty statement for information on the role and the selection criteria for eligibility
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aimed at improving student engagement and success. You will have a desire to promote a positive student-centred culture, whilst also demonstrating excellent data analysis, reporting, project coordination
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and data to support best practice learning and supervision, monitor student and placement outcomes, provide analytical reporting to senior stakeholders, and manage financial planning and budget
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. Develop and execute strategic and operational plans informed by data and market insights to achieve UQ’s objectives. Cultivate strong, productive relationships with internal stakeholders, external partners
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. Questions? For more information about this opportunity, please contact Mr Robert Rose via rose.r@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au
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rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please
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clear reports and engage effectively with diverse stakeholders. Experience working within digital health, data, or research environments, including exposure to qualitative and/or quantitative research