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Apply now Job no:576076 Work type:Full-time Location:Melbourne - Burwood Categories:Finance Based at our Melbourne, Burwood Campus + hybrid work arrangements Full-time and continuing HEW 6 $96,276 + 17% Superannuation Why work with us? At Deakin you will have access to benefits such as a variety...
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options Cheap parking (from just $5.75 a day) Salary packaging options About You A PhD or masters qualification preferably in Data Science (or a combination of statistics and computer science), or Business
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of business and technology risks, and opportunities to continually improve efficiency and effectiveness. Lead and deliver the design, implementation, and operation of analytics, analytics platforms and
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(CLT) to support the implementation and adoption of key learning technologies under the University’s Curriculum Transformation Program. The Centre for Learning and Teaching (CLT) contributes
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School of Chemical Engineering, Faculty of EAIT 2 x full-time (100%) positions - Permanent and Fixed-term (up to 5 years) opportunities available Academic Level B or C (Teaching & Research) Base
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experience. Demonstrated understanding of engineering, physics and/or project and program management preferred. Demonstrated management experience, preferably in higher education, with the ability
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University. This is a fractional role, and the successful candidate will be expected to balance academic leadership responsibilities with their own program of research. About you (skills, capabilities and
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contexts Engage stakeholders across international contexts, to ensure inclusive and locally informed program design and implementation About you Demonstrated experience of strategy development and planning
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Advancement Portfolio team at the University of Sydney is one of the most successful fundraising program in Australian higher education. Having completed the nation’s first $1 billion fundraising campaign and
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, implementing efficient monitoring of the various deployments using Grafana and Prometheus and the autoscaling of compute nodes for CPU and GPU workloads across various cloud providers. Key responsibilities will