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Join CSIRO - Australia's National Science and Innovation Agency Design and develop innovative software solutions that support real-world impact. Contribute to projects aligned with CSIRO’s national science and innovation priorities. Joining CSIRO as the Senior Software Developer you'll play a...
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Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from just $6.15 a day) Salary packaging options About You You will have: Completion of a
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to improving employment opportunities, supporting professional development and creating a culturally safe and supportive workplace for Aboriginal staff members. About the Program UniSA provides Aboriginal
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priorities. Information Management: collect and manage data on engagement activities, support of end-of-year reporting, and monitor program effectiveness to inform ongoing improvements. Systems and Processes
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, course and program management, timetabling, fees, scholarships, examinations, graduations and current student communications. The Division of Student Administration and Academic Services (DSAAS) is within
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Digital Office (DO), the Digital Portfolio Office (DPO), plays a key role providing portfolio and program governance and advisory services for digital transformation initiatives. The DPO team supports
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
into the development of suitable research networks to support conduct of trials, including site selection and ongoing evaluation. The Senior Trial Manager reports to the CHOIR Program Manager and works closely with
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that supports the University’s Body Donation Program, working 5 hours per day (some flexibility on the times) and availability to work longer hours on days required to cover leave. Working under general direction
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deep expertise in project or program management to initiatives that unlock data-driven breakthroughs in health, environment, humanities and beyond. This is a unique opportunity to contribute
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural