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relationships into meaningful engagements. Demonstrated understanding and experience in the following areas: Stakeholder mapping Persuading others and building strong interpersonal networks Translating conceptual
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are needed as well as mechanical design and automation skills including software numerical modelling and control systems. An honours degree in Physics or related Engineering disciplines is required. The School
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develop innovative software that supports world-class agricultural research? Join the Australian Plant Phenomics Network (APPN) and make a real difference in sustainable agriculture across Australia. Help
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Australian National University | Canberra, Australian Capital Territory | Australia | about 9 hours ago
postgraduate degrees. As a part of Australia's leading university, CBE provides an excellent educational experience for students. Our global alumni network reaches the world's leading companies, policy agencies
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
experience for students. Our global alumni network reaches the world's leading companies, policy agencies and universities. Our operations are guided by our Values and Behaviours and we encourage you to apply
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developing next generation solar cells, technologies for utility scale PV and industrial scale solar thermal to produce decarbonised electricity. A strong focus area for the team is developing solutions
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Monash Energy Partnership to build strong partnerships and support project development aligned with strategic business outcomes. As the Projects and Partnerships Manager, you will be responsible
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experience in a large multi-faceted organisation, with proven ability in facility maintenance services supervising human and physical resources · Working knowledge of current OHS, building, essential
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compliance Network and collaborate with a diverse network of like-minded professionals The opportunity Voluntary, Fixed term (up to 3 years) Monthly virtual meeting ($200 paid allowance per session) Annual
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This project aims to design effective and intelligent search techniques for large scale social network data. The project expects to advance existing social network search systems in three unique