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of education, training and experience. Minimum of 5 years relevant experience including demonstrated experience as a Benefits and/or Portfolio planning lead for a large, complex program or portfolio. Knowledge
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Apply now Job no:501889 Work type:Full time Location:Hobart Categories:Laboratory & Research Support, Teaching Support Plan, manage, and undertake field research programs Participating in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
and resources within available financial resources. Clinical Skills education is well developed in the School across all 4-years of the medical program. The appointee will oversee, organise and
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. Course Descriptions Here are the course descriptions for subjects taught in the Foundation Studies program in RMIT UP- https://www.rmit.edu.au/study-with-us/levels-of-study/pre-university-study/foundation
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, their spouse, and children at the end of their contract. School tuition fees for children to attend the K-12 program in Vietnam, up to $20,000 per child or $40,000 for two children per year. Premium private
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, profession, industry (where relevant) and wider community. Evidence of evidence-based practice capability demonstrated by health service/program evaluation, publications, or direct experience in research
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opportunities for program management. This is an exciting opportunity for an academic ready to contribute expertise, leadership, and creativity to an expanding HCI community. To be successful for this position
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. For further information about this position, please see the Position Description below. https://www.rmit.edu.au/content/dam/rmit/au/en/careers/position-descriptions/pd-senior-developer-peopleSoft.pdf When you
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Application Deadline 15 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications