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PhD Scholarship for The Impact of Future Human Values and Practices on Australia’s Net Zero and Digital Transitions Job No.: 679372 Location: Caulfield campus Employment Type: Full-time Duration
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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview The concept of individualisation of training to maximise the adaptive response is as important for team sport...
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for securing significant philanthropic support from high-net-worth individuals based in Australia, through the strategic management of a major gift pipeline in alignment with the University's fundraising and
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Contribute to NASA’s Deep Space Network by supporting the antenna control electronics
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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
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universities globally, Monash is Australia’s largest university, with a presence that extends across Australia, Malaysia, Indonesia, Italy, China and India. Monash fosters a thriving network of scholars
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are ready to grow their leadership skills, broaden their industry knowledge, and build valuable networks in the mining sector. If that sounds like you, this could be a career-defining opportunity. Valued
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep